diff --git a/russell2019_ANN.ipynb b/russell2019_ANN.ipynb new file mode 100644 index 0000000..55bb844 --- /dev/null +++ b/russell2019_ANN.ipynb @@ -0,0 +1,5464 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "russell2019_ANN.ipynb", + "provenance": [], + "collapsed_sections": [], + "toc_visible": true, + "authorship_tag": "ABX9TyPdhewwMme0oIEXAs+IuLjt", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "yBJRtq6TLwDJ" + }, + "source": [ + "## Reproducing \"Machine Learning and Geophysical Inversion: A Numerical Study\" paper by Russell (2019) in Python\n", + "\n", + "Yohanes Nuwara" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "hrQ0syLO4R3z" + }, + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from keras.layers import Dense\n", + "from keras.models import Sequential\n", + "from keras.callbacks import ModelCheckpoint, LambdaCallback" + ], + "execution_count": 1, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 255 + }, + "id": "OW8rtcm1UvaK", + "outputId": "6fb90980-940c-403e-8410-2b715be77562" + }, + "source": [ + "# Make wavelet\n", + "def Ricker(f, t):\n", + " pift = np.pi * f * t\n", + " wav = (1 - 2 * pift ** 2) * np.exp(-pift ** 2)\n", + " return wav\n", + "\n", + "t = np.linspace(-0.2,0.2,100)\n", + "w = Ricker(20, t)\n", + "\n", + "# Make wedge model\n", + "length, depth = 40, 100\n", + "model = 1 + np.tri(depth, length, -depth//3)\n", + "model[:depth//3,:] = 0\n", + "rocks = np.array([[2700, 2750], [2400, 2450], [2800, 3000]])\n", + "earth = np.take(rocks, model.astype(int), axis=0)\n", + "imp = np.apply_along_axis(np.product, -1, earth)\n", + "rc = (imp[1:,:] - imp[:-1,:]) / (imp[1:,:] + imp[:-1,:])\n", + "synth = np.apply_along_axis(lambda t: np.convolve(t, w, mode='same'), axis=0, arr=rc)\n", + "\n", + "plt.imshow(synth, cmap=\"cubehelix\", aspect=0.2, interpolation='bicubic')\n", + "plt.title(\"Wedge Model\", size=20)\n", + "plt.xlabel(\"x\", size=15); plt.ylabel(\"z\", size=15)\n", + "plt.show()" + ], + "execution_count": 43, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "OUGrCrSwu2Cs", + "outputId": "c47fb96a-e33d-4027-830a-bdd09ce72857" + }, + "source": [ + "# Create a Neural Network \n", + "model = Sequential()\n", + "\n", + "model.add(Dense(2, activation='sigmoid', use_bias=False, input_shape=(2,)))\n", + "model.add(Dense(1, activation='linear', use_bias=False))\n", + "model.compile(optimizer='adam', loss='mean_squared_error')\n", + "\n", + "model.summary()" + ], + "execution_count": 16, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Model: \"sequential_1\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "dense_2 (Dense) (None, 2) 4 \n", + "_________________________________________________________________\n", + "dense_3 (Dense) (None, 1) 2 \n", + "=================================================================\n", + "Total params: 6\n", + "Trainable params: 6\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "YZ3k6xslMiL_" + }, + "source": [ + "# Create a callback that records weight of every epoch\n", + "weights_dict = {}\n", + "checkpoint = LambdaCallback \\\n", + "( on_epoch_end=lambda epoch, logs: weights_dict.update({epoch:model.get_weights()}))" + ], + "execution_count": 3, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "OHmiVWACMlSX", + "outputId": "0bc5fcf9-335d-4180-bc0f-3faa1b964ff8" + }, + "source": [ + "# Synthetic data: seismic trace\n", + "s = np.array([-0.1, 0.3, -0.3, 0.1])\n", + "x = np.ones(len(s))\n", + "X = np.vstack((x, s)).T\n", + "\n", + "X" + ], + "execution_count": 4, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([[ 1. , -0.1],\n", + " [ 1. , 0.3],\n", + " [ 1. , -0.3],\n", + " [ 1. , 0.1]])" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 4 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "UQgfkErfNi1l", + "outputId": "123e3ef5-3a9c-4607-9dd4-0cf7c3f083cb" + }, + "source": [ + "# Synthetic data: Reflectivity\n", + "y = np.array([0, 0.1, -0.1, 0]).T.reshape(-1,1)\n", + "\n", + "y" + ], + "execution_count": 5, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([[ 0. ],\n", + " [ 0.1],\n", + " [-0.1],\n", + " [ 0. ]])" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 5 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "euGQoV5ovB2a", + "outputId": "6224ea77-7ea3-4a07-a3ec-762b1b4f0005" + }, + "source": [ + "# Training with the model\n", + "callback = model.fit(X, y, epochs=5000, callbacks=[checkpoint])" + ], + "execution_count": 17, + "outputs": [ + { + "output_type": "stream", + "text": [ + "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n", + "Epoch 2501/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.1083e-04\n", + "Epoch 2502/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.1082e-04\n", + "Epoch 2503/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1081e-04\n", + "Epoch 2504/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1080e-04\n", + "Epoch 2505/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.1079e-04\n", + "Epoch 2506/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1078e-04\n", + "Epoch 2507/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.1077e-04\n", + "Epoch 2508/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.1076e-04\n", + "Epoch 2509/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1075e-04\n", + "Epoch 2510/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1074e-04\n", + "Epoch 2511/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1073e-04\n", + "Epoch 2512/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1072e-04\n", + "Epoch 2513/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1070e-04\n", + "Epoch 2514/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1069e-04\n", + "Epoch 2515/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1068e-04\n", + "Epoch 2516/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1067e-04\n", + "Epoch 2517/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1066e-04\n", + "Epoch 2518/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.1065e-04\n", + "Epoch 2519/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.1064e-04\n", + "Epoch 2520/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1063e-04\n", + "Epoch 2521/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.1062e-04\n", + "Epoch 2522/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.1061e-04\n", + "Epoch 2523/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1060e-04\n", + "Epoch 2524/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.1060e-04\n", + "Epoch 2525/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1059e-04\n", + "Epoch 2526/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1058e-04\n", + "Epoch 2527/5000\n", + "1/1 [==============================] - 0s 25ms/step - loss: 5.1057e-04\n", + "Epoch 2528/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1056e-04\n", + "Epoch 2529/5000\n", + "1/1 [==============================] - 0s 79ms/step - loss: 5.1055e-04\n", + "Epoch 2530/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.1054e-04\n", + "Epoch 2531/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.1053e-04\n", + "Epoch 2532/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1052e-04\n", + "Epoch 2533/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1051e-04\n", + "Epoch 2534/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.1050e-04\n", + "Epoch 2535/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1049e-04\n", + "Epoch 2536/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.1048e-04\n", + "Epoch 2537/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1047e-04\n", + "Epoch 2538/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.1047e-04\n", + "Epoch 2539/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1046e-04\n", + "Epoch 2540/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1045e-04\n", + "Epoch 2541/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1044e-04\n", + "Epoch 2542/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.1043e-04\n", + "Epoch 2543/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1042e-04\n", + "Epoch 2544/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.1041e-04\n", + "Epoch 2545/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1040e-04\n", + "Epoch 2546/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.1040e-04\n", + "Epoch 2547/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.1039e-04\n", + "Epoch 2548/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1038e-04\n", + "Epoch 2549/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.1037e-04\n", + "Epoch 2550/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1036e-04\n", + "Epoch 2551/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1035e-04\n", + "Epoch 2552/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.1035e-04\n", + "Epoch 2553/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1034e-04\n", + "Epoch 2554/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.1033e-04\n", + "Epoch 2555/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1032e-04\n", + "Epoch 2556/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.1031e-04\n", + "Epoch 2557/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1031e-04\n", + "Epoch 2558/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1030e-04\n", + "Epoch 2559/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.1029e-04\n", + "Epoch 2560/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.1028e-04\n", + "Epoch 2561/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1028e-04\n", + "Epoch 2562/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1027e-04\n", + "Epoch 2563/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1026e-04\n", + "Epoch 2564/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1025e-04\n", + "Epoch 2565/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1025e-04\n", + "Epoch 2566/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1024e-04\n", + "Epoch 2567/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1023e-04\n", + "Epoch 2568/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1022e-04\n", + "Epoch 2569/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1022e-04\n", + "Epoch 2570/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1021e-04\n", + "Epoch 2571/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.1020e-04\n", + "Epoch 2572/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1019e-04\n", + "Epoch 2573/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1019e-04\n", + "Epoch 2574/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1018e-04\n", + "Epoch 2575/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1017e-04\n", + "Epoch 2576/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1017e-04\n", + "Epoch 2577/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1016e-04\n", + "Epoch 2578/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.1015e-04\n", + "Epoch 2579/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1014e-04\n", + "Epoch 2580/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1014e-04\n", + "Epoch 2581/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1013e-04\n", + "Epoch 2582/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.1012e-04\n", + "Epoch 2583/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.1012e-04\n", + "Epoch 2584/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1011e-04\n", + "Epoch 2585/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1010e-04\n", + "Epoch 2586/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1010e-04\n", + "Epoch 2587/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1009e-04\n", + "Epoch 2588/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1008e-04\n", + "Epoch 2589/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.1008e-04\n", + "Epoch 2590/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1007e-04\n", + "Epoch 2591/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1006e-04\n", + "Epoch 2592/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.1006e-04\n", + "Epoch 2593/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1005e-04\n", + "Epoch 2594/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1005e-04\n", + "Epoch 2595/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1004e-04\n", + "Epoch 2596/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.1003e-04\n", + "Epoch 2597/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1003e-04\n", + "Epoch 2598/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.1002e-04\n", + "Epoch 2599/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1002e-04\n", + "Epoch 2600/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.1001e-04\n", + "Epoch 2601/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.1000e-04\n", + "Epoch 2602/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.1000e-04\n", + "Epoch 2603/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0999e-04\n", + "Epoch 2604/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0999e-04\n", + "Epoch 2605/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0998e-04\n", + "Epoch 2606/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0997e-04\n", + "Epoch 2607/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0997e-04\n", + "Epoch 2608/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0996e-04\n", + "Epoch 2609/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0996e-04\n", + "Epoch 2610/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0995e-04\n", + "Epoch 2611/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0994e-04\n", + "Epoch 2612/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0994e-04\n", + "Epoch 2613/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0993e-04\n", + "Epoch 2614/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0993e-04\n", + "Epoch 2615/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0992e-04\n", + "Epoch 2616/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0992e-04\n", + "Epoch 2617/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0991e-04\n", + "Epoch 2618/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0991e-04\n", + "Epoch 2619/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0990e-04\n", + "Epoch 2620/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0990e-04\n", + "Epoch 2621/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0989e-04\n", + "Epoch 2622/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0989e-04\n", + "Epoch 2623/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0988e-04\n", + "Epoch 2624/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0987e-04\n", + "Epoch 2625/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0987e-04\n", + "Epoch 2626/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0986e-04\n", + "Epoch 2627/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0986e-04\n", + "Epoch 2628/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0985e-04\n", + "Epoch 2629/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0985e-04\n", + "Epoch 2630/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0984e-04\n", + "Epoch 2631/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0984e-04\n", + "Epoch 2632/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0983e-04\n", + "Epoch 2633/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0983e-04\n", + "Epoch 2634/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0983e-04\n", + "Epoch 2635/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0982e-04\n", + "Epoch 2636/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0982e-04\n", + "Epoch 2637/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0981e-04\n", + "Epoch 2638/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0981e-04\n", + "Epoch 2639/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0980e-04\n", + "Epoch 2640/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0980e-04\n", + "Epoch 2641/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0979e-04\n", + "Epoch 2642/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0979e-04\n", + "Epoch 2643/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0978e-04\n", + "Epoch 2644/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0978e-04\n", + "Epoch 2645/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0977e-04\n", + "Epoch 2646/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0977e-04\n", + "Epoch 2647/5000\n", + "1/1 [==============================] - 0s 25ms/step - loss: 5.0976e-04\n", + "Epoch 2648/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0976e-04\n", + "Epoch 2649/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0976e-04\n", + "Epoch 2650/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0975e-04\n", + "Epoch 2651/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0975e-04\n", + "Epoch 2652/5000\n", + "1/1 [==============================] - 0s 23ms/step - loss: 5.0974e-04\n", + "Epoch 2653/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0974e-04\n", + "Epoch 2654/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0973e-04\n", + "Epoch 2655/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0973e-04\n", + "Epoch 2656/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0973e-04\n", + "Epoch 2657/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0972e-04\n", + "Epoch 2658/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0972e-04\n", + "Epoch 2659/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0971e-04\n", + "Epoch 2660/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0971e-04\n", + "Epoch 2661/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0970e-04\n", + "Epoch 2662/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0970e-04\n", + "Epoch 2663/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0970e-04\n", + "Epoch 2664/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0969e-04\n", + "Epoch 2665/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0969e-04\n", + "Epoch 2666/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0968e-04\n", + "Epoch 2667/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0968e-04\n", + "Epoch 2668/5000\n", + "1/1 [==============================] - 0s 25ms/step - loss: 5.0968e-04\n", + "Epoch 2669/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0967e-04\n", + "Epoch 2670/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0967e-04\n", + "Epoch 2671/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0967e-04\n", + "Epoch 2672/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0966e-04\n", + "Epoch 2673/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0966e-04\n", + "Epoch 2674/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0965e-04\n", + "Epoch 2675/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0965e-04\n", + "Epoch 2676/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0965e-04\n", + "Epoch 2677/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0964e-04\n", + "Epoch 2678/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0964e-04\n", + "Epoch 2679/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0964e-04\n", + "Epoch 2680/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0963e-04\n", + "Epoch 2681/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0963e-04\n", + "Epoch 2682/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0962e-04\n", + "Epoch 2683/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0962e-04\n", + "Epoch 2684/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0962e-04\n", + "Epoch 2685/5000\n", + "1/1 [==============================] - 0s 22ms/step - loss: 5.0961e-04\n", + "Epoch 2686/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0961e-04\n", + "Epoch 2687/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0961e-04\n", + "Epoch 2688/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0960e-04\n", + "Epoch 2689/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0960e-04\n", + "Epoch 2690/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0960e-04\n", + "Epoch 2691/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0959e-04\n", + "Epoch 2692/5000\n", + "1/1 [==============================] - 0s 23ms/step - loss: 5.0959e-04\n", + "Epoch 2693/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0959e-04\n", + "Epoch 2694/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0958e-04\n", + "Epoch 2695/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0958e-04\n", + "Epoch 2696/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0958e-04\n", + "Epoch 2697/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0957e-04\n", + "Epoch 2698/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0957e-04\n", + "Epoch 2699/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0957e-04\n", + "Epoch 2700/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0956e-04\n", + "Epoch 2701/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0956e-04\n", + "Epoch 2702/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0956e-04\n", + "Epoch 2703/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0956e-04\n", + "Epoch 2704/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0955e-04\n", + "Epoch 2705/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0955e-04\n", + "Epoch 2706/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0955e-04\n", + "Epoch 2707/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0954e-04\n", + "Epoch 2708/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0954e-04\n", + "Epoch 2709/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0954e-04\n", + "Epoch 2710/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0953e-04\n", + "Epoch 2711/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0953e-04\n", + "Epoch 2712/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0953e-04\n", + "Epoch 2713/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0953e-04\n", + "Epoch 2714/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0952e-04\n", + "Epoch 2715/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0952e-04\n", + "Epoch 2716/5000\n", + "1/1 [==============================] - 0s 22ms/step - loss: 5.0952e-04\n", + "Epoch 2717/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0951e-04\n", + "Epoch 2718/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0951e-04\n", + "Epoch 2719/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0951e-04\n", + "Epoch 2720/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0951e-04\n", + "Epoch 2721/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0950e-04\n", + "Epoch 2722/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0950e-04\n", + "Epoch 2723/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0950e-04\n", + "Epoch 2724/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0950e-04\n", + "Epoch 2725/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0949e-04\n", + "Epoch 2726/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0949e-04\n", + "Epoch 2727/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0949e-04\n", + "Epoch 2728/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0948e-04\n", + "Epoch 2729/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0948e-04\n", + "Epoch 2730/5000\n", + "1/1 [==============================] - 0s 25ms/step - loss: 5.0948e-04\n", + "Epoch 2731/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0948e-04\n", + "Epoch 2732/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0947e-04\n", + "Epoch 2733/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0947e-04\n", + "Epoch 2734/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0947e-04\n", + "Epoch 2735/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0947e-04\n", + "Epoch 2736/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0946e-04\n", + "Epoch 2737/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0946e-04\n", + "Epoch 2738/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0946e-04\n", + "Epoch 2739/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0946e-04\n", + "Epoch 2740/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0945e-04\n", + "Epoch 2741/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0945e-04\n", + "Epoch 2742/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0945e-04\n", + "Epoch 2743/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0945e-04\n", + "Epoch 2744/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0944e-04\n", + "Epoch 2745/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0944e-04\n", + "Epoch 2746/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0944e-04\n", + "Epoch 2747/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0944e-04\n", + "Epoch 2748/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0944e-04\n", + "Epoch 2749/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0943e-04\n", + "Epoch 2750/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0943e-04\n", + "Epoch 2751/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0943e-04\n", + "Epoch 2752/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0943e-04\n", + "Epoch 2753/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0942e-04\n", + "Epoch 2754/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0942e-04\n", + "Epoch 2755/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0942e-04\n", + "Epoch 2756/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0942e-04\n", + "Epoch 2757/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0942e-04\n", + "Epoch 2758/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0941e-04\n", + "Epoch 2759/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0941e-04\n", + "Epoch 2760/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0941e-04\n", + "Epoch 2761/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0941e-04\n", + "Epoch 2762/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0941e-04\n", + "Epoch 2763/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0940e-04\n", + "Epoch 2764/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0940e-04\n", + "Epoch 2765/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0940e-04\n", + "Epoch 2766/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0940e-04\n", + "Epoch 2767/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0940e-04\n", + "Epoch 2768/5000\n", + "1/1 [==============================] - 0s 32ms/step - loss: 5.0939e-04\n", + "Epoch 2769/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0939e-04\n", + "Epoch 2770/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0939e-04\n", + "Epoch 2771/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0939e-04\n", + "Epoch 2772/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0939e-04\n", + "Epoch 2773/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0938e-04\n", + "Epoch 2774/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0938e-04\n", + "Epoch 2775/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0938e-04\n", + "Epoch 2776/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0938e-04\n", + "Epoch 2777/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0938e-04\n", + "Epoch 2778/5000\n", + "1/1 [==============================] - 0s 147ms/step - loss: 5.0937e-04\n", + "Epoch 2779/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0937e-04\n", + "Epoch 2780/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0937e-04\n", + "Epoch 2781/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0937e-04\n", + "Epoch 2782/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0937e-04\n", + "Epoch 2783/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0936e-04\n", + "Epoch 2784/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0936e-04\n", + "Epoch 2785/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0936e-04\n", + "Epoch 2786/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0936e-04\n", + "Epoch 2787/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0936e-04\n", + "Epoch 2788/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0936e-04\n", + "Epoch 2789/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0936e-04\n", + "Epoch 2790/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0935e-04\n", + "Epoch 2791/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0935e-04\n", + "Epoch 2792/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0935e-04\n", + "Epoch 2793/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0935e-04\n", + "Epoch 2794/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0935e-04\n", + "Epoch 2795/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0934e-04\n", + "Epoch 2796/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0934e-04\n", + "Epoch 2797/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0934e-04\n", + "Epoch 2798/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0934e-04\n", + "Epoch 2799/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0934e-04\n", + "Epoch 2800/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0934e-04\n", + "Epoch 2801/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0933e-04\n", + "Epoch 2802/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0933e-04\n", + "Epoch 2803/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0933e-04\n", + "Epoch 2804/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0933e-04\n", + "Epoch 2805/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0933e-04\n", + "Epoch 2806/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0933e-04\n", + "Epoch 2807/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0933e-04\n", + "Epoch 2808/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0932e-04\n", + "Epoch 2809/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0932e-04\n", + "Epoch 2810/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0932e-04\n", + "Epoch 2811/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0932e-04\n", + "Epoch 2812/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0932e-04\n", + "Epoch 2813/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0932e-04\n", + "Epoch 2814/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0932e-04\n", + "Epoch 2815/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0931e-04\n", + "Epoch 2816/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0931e-04\n", + "Epoch 2817/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0931e-04\n", + "Epoch 2818/5000\n", + "1/1 [==============================] - 0s 24ms/step - loss: 5.0931e-04\n", + "Epoch 2819/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0931e-04\n", + "Epoch 2820/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0931e-04\n", + "Epoch 2821/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0930e-04\n", + "Epoch 2822/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0930e-04\n", + "Epoch 2823/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0930e-04\n", + "Epoch 2824/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0930e-04\n", + "Epoch 2825/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0930e-04\n", + "Epoch 2826/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0930e-04\n", + "Epoch 2827/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0930e-04\n", + "Epoch 2828/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0930e-04\n", + "Epoch 2829/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0929e-04\n", + "Epoch 2830/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0929e-04\n", + "Epoch 2831/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0929e-04\n", + "Epoch 2832/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0929e-04\n", + "Epoch 2833/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0929e-04\n", + "Epoch 2834/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0929e-04\n", + "Epoch 2835/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0929e-04\n", + "Epoch 2836/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0929e-04\n", + "Epoch 2837/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0928e-04\n", + "Epoch 2838/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0928e-04\n", + "Epoch 2839/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0928e-04\n", + "Epoch 2840/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0928e-04\n", + "Epoch 2841/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0928e-04\n", + "Epoch 2842/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0928e-04\n", + "Epoch 2843/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0928e-04\n", + "Epoch 2844/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0928e-04\n", + "Epoch 2845/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0927e-04\n", + "Epoch 2846/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0927e-04\n", + "Epoch 2847/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0927e-04\n", + "Epoch 2848/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0927e-04\n", + "Epoch 2849/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0927e-04\n", + "Epoch 2850/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0927e-04\n", + "Epoch 2851/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0927e-04\n", + "Epoch 2852/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0927e-04\n", + "Epoch 2853/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0927e-04\n", + "Epoch 2854/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0926e-04\n", + "Epoch 2855/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0926e-04\n", + "Epoch 2856/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0926e-04\n", + "Epoch 2857/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0926e-04\n", + "Epoch 2858/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0926e-04\n", + "Epoch 2859/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0926e-04\n", + "Epoch 2860/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0926e-04\n", + "Epoch 2861/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0926e-04\n", + "Epoch 2862/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0926e-04\n", + "Epoch 2863/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0926e-04\n", + "Epoch 2864/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0925e-04\n", + "Epoch 2865/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0925e-04\n", + "Epoch 2866/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0925e-04\n", + "Epoch 2867/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0925e-04\n", + "Epoch 2868/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0925e-04\n", + "Epoch 2869/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0925e-04\n", + "Epoch 2870/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0925e-04\n", + "Epoch 2871/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0925e-04\n", + "Epoch 2872/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0925e-04\n", + "Epoch 2873/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0925e-04\n", + "Epoch 2874/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0924e-04\n", + "Epoch 2875/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0924e-04\n", + "Epoch 2876/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0924e-04\n", + "Epoch 2877/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0924e-04\n", + "Epoch 2878/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0924e-04\n", + "Epoch 2879/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0924e-04\n", + "Epoch 2880/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0924e-04\n", + "Epoch 2881/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0924e-04\n", + "Epoch 2882/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0924e-04\n", + "Epoch 2883/5000\n", + "1/1 [==============================] - 0s 41ms/step - loss: 5.0924e-04\n", + "Epoch 2884/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0924e-04\n", + "Epoch 2885/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0923e-04\n", + "Epoch 2886/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0923e-04\n", + "Epoch 2887/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0923e-04\n", + "Epoch 2888/5000\n", + "1/1 [==============================] - 0s 40ms/step - loss: 5.0923e-04\n", + "Epoch 2889/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0923e-04\n", + "Epoch 2890/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0923e-04\n", + "Epoch 2891/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0923e-04\n", + "Epoch 2892/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0923e-04\n", + "Epoch 2893/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0923e-04\n", + "Epoch 2894/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0923e-04\n", + "Epoch 2895/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0923e-04\n", + "Epoch 2896/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0923e-04\n", + "Epoch 2897/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0922e-04\n", + "Epoch 2898/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0922e-04\n", + "Epoch 2899/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0922e-04\n", + "Epoch 2900/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0922e-04\n", + "Epoch 2901/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0922e-04\n", + "Epoch 2902/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0922e-04\n", + "Epoch 2903/5000\n", + "1/1 [==============================] - 0s 51ms/step - loss: 5.0922e-04\n", + "Epoch 2904/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0922e-04\n", + "Epoch 2905/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0922e-04\n", + "Epoch 2906/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0922e-04\n", + "Epoch 2907/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0922e-04\n", + "Epoch 2908/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0922e-04\n", + "Epoch 2909/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0922e-04\n", + "Epoch 2910/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0921e-04\n", + "Epoch 2911/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0921e-04\n", + "Epoch 2912/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0921e-04\n", + "Epoch 2913/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0921e-04\n", + "Epoch 2914/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0921e-04\n", + "Epoch 2915/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0921e-04\n", + "Epoch 2916/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0921e-04\n", + "Epoch 2917/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0921e-04\n", + "Epoch 2918/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0921e-04\n", + "Epoch 2919/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0921e-04\n", + "Epoch 2920/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0921e-04\n", + "Epoch 2921/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0921e-04\n", + "Epoch 2922/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0921e-04\n", + "Epoch 2923/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0920e-04\n", + "Epoch 2924/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0920e-04\n", + "Epoch 2925/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0920e-04\n", + "Epoch 2926/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0920e-04\n", + "Epoch 2927/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0920e-04\n", + "Epoch 2928/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0920e-04\n", + "Epoch 2929/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0920e-04\n", + "Epoch 2930/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0920e-04\n", + "Epoch 2931/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0920e-04\n", + "Epoch 2932/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0920e-04\n", + "Epoch 2933/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0920e-04\n", + "Epoch 2934/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0920e-04\n", + "Epoch 2935/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0920e-04\n", + "Epoch 2936/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0920e-04\n", + "Epoch 2937/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0920e-04\n", + "Epoch 2938/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0920e-04\n", + "Epoch 2939/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0920e-04\n", + "Epoch 2940/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0919e-04\n", + "Epoch 2941/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0919e-04\n", + "Epoch 2942/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0919e-04\n", + "Epoch 2943/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0919e-04\n", + "Epoch 2944/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0919e-04\n", + "Epoch 2945/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0919e-04\n", + "Epoch 2946/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0919e-04\n", + "Epoch 2947/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0919e-04\n", + "Epoch 2948/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0919e-04\n", + "Epoch 2949/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0919e-04\n", + "Epoch 2950/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0919e-04\n", + "Epoch 2951/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0919e-04\n", + "Epoch 2952/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0919e-04\n", + "Epoch 2953/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0919e-04\n", + "Epoch 2954/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0919e-04\n", + "Epoch 2955/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0919e-04\n", + "Epoch 2956/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0919e-04\n", + "Epoch 2957/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0918e-04\n", + "Epoch 2958/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0918e-04\n", + "Epoch 2959/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0918e-04\n", + "Epoch 2960/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0918e-04\n", + "Epoch 2961/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0918e-04\n", + "Epoch 2962/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0918e-04\n", + "Epoch 2963/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0918e-04\n", + "Epoch 2964/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0918e-04\n", + "Epoch 2965/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0918e-04\n", + "Epoch 2966/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0918e-04\n", + "Epoch 2967/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0918e-04\n", + "Epoch 2968/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0918e-04\n", + "Epoch 2969/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0918e-04\n", + "Epoch 2970/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0918e-04\n", + "Epoch 2971/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0918e-04\n", + "Epoch 2972/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0918e-04\n", + "Epoch 2973/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0918e-04\n", + "Epoch 2974/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0918e-04\n", + "Epoch 2975/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0918e-04\n", + "Epoch 2976/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0918e-04\n", + "Epoch 2977/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0917e-04\n", + "Epoch 2978/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0917e-04\n", + "Epoch 2979/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0917e-04\n", + "Epoch 2980/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0917e-04\n", + "Epoch 2981/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0917e-04\n", + "Epoch 2982/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0917e-04\n", + "Epoch 2983/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0917e-04\n", + "Epoch 2984/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0917e-04\n", + "Epoch 2985/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0917e-04\n", + "Epoch 2986/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0917e-04\n", + "Epoch 2987/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0917e-04\n", + "Epoch 2988/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0917e-04\n", + "Epoch 2989/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0917e-04\n", + "Epoch 2990/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0917e-04\n", + "Epoch 2991/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0917e-04\n", + "Epoch 2992/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0917e-04\n", + "Epoch 2993/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0917e-04\n", + "Epoch 2994/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0917e-04\n", + "Epoch 2995/5000\n", + "1/1 [==============================] - 0s 46ms/step - loss: 5.0917e-04\n", + "Epoch 2996/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0917e-04\n", + "Epoch 2997/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0917e-04\n", + "Epoch 2998/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0917e-04\n", + "Epoch 2999/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0917e-04\n", + "Epoch 3000/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0917e-04\n", + "Epoch 3001/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0917e-04\n", + "Epoch 3002/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0916e-04\n", + "Epoch 3003/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0916e-04\n", + "Epoch 3004/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0916e-04\n", + "Epoch 3005/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0916e-04\n", + "Epoch 3006/5000\n", + "1/1 [==============================] - 0s 34ms/step - loss: 5.0916e-04\n", + "Epoch 3007/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0916e-04\n", + "Epoch 3008/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0916e-04\n", + "Epoch 3009/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0916e-04\n", + "Epoch 3010/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0916e-04\n", + "Epoch 3011/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0916e-04\n", + "Epoch 3012/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0916e-04\n", + "Epoch 3013/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0916e-04\n", + "Epoch 3014/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0916e-04\n", + "Epoch 3015/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0916e-04\n", + "Epoch 3016/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0916e-04\n", + "Epoch 3017/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0916e-04\n", + "Epoch 3018/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0916e-04\n", + "Epoch 3019/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0916e-04\n", + "Epoch 3020/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0916e-04\n", + "Epoch 3021/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0916e-04\n", + "Epoch 3022/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0916e-04\n", + "Epoch 3023/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0916e-04\n", + "Epoch 3024/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0916e-04\n", + "Epoch 3025/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0916e-04\n", + "Epoch 3026/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0916e-04\n", + "Epoch 3027/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0916e-04\n", + "Epoch 3028/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0916e-04\n", + "Epoch 3029/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0915e-04\n", + "Epoch 3030/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0915e-04\n", + "Epoch 3031/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0915e-04\n", + "Epoch 3032/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0915e-04\n", + "Epoch 3033/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0915e-04\n", + "Epoch 3034/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0915e-04\n", + "Epoch 3035/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0915e-04\n", + "Epoch 3036/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0915e-04\n", + "Epoch 3037/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0915e-04\n", + "Epoch 3038/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0915e-04\n", + "Epoch 3039/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0915e-04\n", + "Epoch 3040/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0915e-04\n", + "Epoch 3041/5000\n", + "1/1 [==============================] - 0s 26ms/step - loss: 5.0915e-04\n", + "Epoch 3042/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0915e-04\n", + "Epoch 3043/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0915e-04\n", + "Epoch 3044/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0915e-04\n", + "Epoch 3045/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0915e-04\n", + "Epoch 3046/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0915e-04\n", + "Epoch 3047/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0915e-04\n", + "Epoch 3048/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0915e-04\n", + "Epoch 3049/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0915e-04\n", + "Epoch 3050/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0915e-04\n", + "Epoch 3051/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0915e-04\n", + "Epoch 3052/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0915e-04\n", + "Epoch 3053/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0915e-04\n", + "Epoch 3054/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0915e-04\n", + "Epoch 3055/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0915e-04\n", + "Epoch 3056/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0915e-04\n", + "Epoch 3057/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0915e-04\n", + "Epoch 3058/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0915e-04\n", + "Epoch 3059/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0915e-04\n", + "Epoch 3060/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0915e-04\n", + "Epoch 3061/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0915e-04\n", + "Epoch 3062/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0914e-04\n", + "Epoch 3063/5000\n", + "1/1 [==============================] - 0s 32ms/step - loss: 5.0914e-04\n", + "Epoch 3064/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0914e-04\n", + "Epoch 3065/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0914e-04\n", + "Epoch 3066/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0914e-04\n", + "Epoch 3067/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0914e-04\n", + "Epoch 3068/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0914e-04\n", + "Epoch 3069/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0914e-04\n", + "Epoch 3070/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0914e-04\n", + "Epoch 3071/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0914e-04\n", + "Epoch 3072/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0914e-04\n", + "Epoch 3073/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0914e-04\n", + "Epoch 3074/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0914e-04\n", + "Epoch 3075/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0914e-04\n", + "Epoch 3076/5000\n", + "1/1 [==============================] - 0s 24ms/step - loss: 5.0914e-04\n", + "Epoch 3077/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0914e-04\n", + "Epoch 3078/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0914e-04\n", + "Epoch 3079/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0914e-04\n", + "Epoch 3080/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0914e-04\n", + "Epoch 3081/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0914e-04\n", + "Epoch 3082/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0914e-04\n", + "Epoch 3083/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0914e-04\n", + "Epoch 3084/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0914e-04\n", + "Epoch 3085/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0914e-04\n", + "Epoch 3086/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0914e-04\n", + "Epoch 3087/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0914e-04\n", + "Epoch 3088/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0914e-04\n", + "Epoch 3089/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0914e-04\n", + "Epoch 3090/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0914e-04\n", + "Epoch 3091/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0914e-04\n", + "Epoch 3092/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0914e-04\n", + "Epoch 3093/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0914e-04\n", + "Epoch 3094/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0914e-04\n", + "Epoch 3095/5000\n", + "1/1 [==============================] - 0s 26ms/step - loss: 5.0914e-04\n", + "Epoch 3096/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0914e-04\n", + "Epoch 3097/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0914e-04\n", + "Epoch 3098/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0914e-04\n", + "Epoch 3099/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0914e-04\n", + "Epoch 3100/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0914e-04\n", + "Epoch 3101/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0914e-04\n", + "Epoch 3102/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0914e-04\n", + "Epoch 3103/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0913e-04\n", + "Epoch 3104/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0914e-04\n", + "Epoch 3105/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3106/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3107/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0913e-04\n", + "Epoch 3108/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0913e-04\n", + "Epoch 3109/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3110/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0913e-04\n", + "Epoch 3111/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0913e-04\n", + "Epoch 3112/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0913e-04\n", + "Epoch 3113/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0913e-04\n", + "Epoch 3114/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0913e-04\n", + "Epoch 3115/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3116/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0913e-04\n", + "Epoch 3117/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3118/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0913e-04\n", + "Epoch 3119/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0913e-04\n", + "Epoch 3120/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0913e-04\n", + "Epoch 3121/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0913e-04\n", + "Epoch 3122/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0913e-04\n", + "Epoch 3123/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0913e-04\n", + "Epoch 3124/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3125/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3126/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3127/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0913e-04\n", + "Epoch 3128/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0913e-04\n", + "Epoch 3129/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0913e-04\n", + "Epoch 3130/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0913e-04\n", + "Epoch 3131/5000\n", + 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3141/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0913e-04\n", + "Epoch 3142/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0913e-04\n", + "Epoch 3143/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0913e-04\n", + "Epoch 3144/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0913e-04\n", + "Epoch 3145/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0913e-04\n", + "Epoch 3146/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0913e-04\n", + "Epoch 3147/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3148/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0913e-04\n", + "Epoch 3149/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0913e-04\n", + "Epoch 3150/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0913e-04\n", + "Epoch 3151/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0913e-04\n", + "Epoch 3152/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0913e-04\n", + "Epoch 3153/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0913e-04\n", + "Epoch 3154/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0913e-04\n", + "Epoch 3155/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0913e-04\n", + "Epoch 3156/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0913e-04\n", + "Epoch 3157/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0913e-04\n", + "Epoch 3158/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0912e-04\n", + "Epoch 3159/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0912e-04\n", + "Epoch 3160/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3161/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0912e-04\n", + "Epoch 3162/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3163/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3164/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0912e-04\n", + "Epoch 3165/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3166/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0912e-04\n", + "Epoch 3167/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3168/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3169/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0912e-04\n", + "Epoch 3170/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3171/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3172/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0912e-04\n", + "Epoch 3173/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0912e-04\n", + "Epoch 3174/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0912e-04\n", + "Epoch 3175/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3176/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0912e-04\n", + "Epoch 3177/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0912e-04\n", + "Epoch 3178/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0912e-04\n", + "Epoch 3179/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0912e-04\n", + "Epoch 3180/5000\n", + "1/1 [==============================] - 0s 27ms/step - loss: 5.0912e-04\n", + "Epoch 3181/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3182/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3183/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0912e-04\n", + "Epoch 3184/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3185/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0912e-04\n", + "Epoch 3186/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3187/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3188/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0912e-04\n", + "Epoch 3189/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0912e-04\n", + "Epoch 3190/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3191/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3192/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3193/5000\n", + "1/1 [==============================] - 0s 30ms/step - loss: 5.0912e-04\n", + "Epoch 3194/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3195/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3196/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3197/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3198/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3199/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3200/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0912e-04\n", + "Epoch 3201/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0912e-04\n", + "Epoch 3202/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3203/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3204/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3205/5000\n", + "1/1 [==============================] - 0s 31ms/step - loss: 5.0912e-04\n", + "Epoch 3206/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0912e-04\n", + "Epoch 3207/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3208/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3209/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3210/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0912e-04\n", + "Epoch 3211/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0912e-04\n", + "Epoch 3212/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3213/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0912e-04\n", + "Epoch 3214/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3215/5000\n", + "1/1 [==============================] - 0s 60ms/step - loss: 5.0912e-04\n", + "Epoch 3216/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0912e-04\n", + "Epoch 3217/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3218/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0912e-04\n", + "Epoch 3219/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3220/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0912e-04\n", + "Epoch 3221/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0912e-04\n", + "Epoch 3222/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0912e-04\n", + "Epoch 3223/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3224/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0912e-04\n", + "Epoch 3225/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0912e-04\n", + "Epoch 3226/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3227/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0912e-04\n", + "Epoch 3228/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0912e-04\n", + "Epoch 3229/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0911e-04\n", + "Epoch 3230/5000\n", + "1/1 [==============================] - 0s 4ms/step 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17ms/step - loss: 5.0911e-04\n", + "Epoch 3241/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0911e-04\n", + "Epoch 3242/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3243/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3244/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3245/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0911e-04\n", + "Epoch 3246/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0911e-04\n", + "Epoch 3247/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3248/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0911e-04\n", + "Epoch 3249/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0911e-04\n", + "Epoch 3250/5000\n", + "1/1 [==============================] - 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[==============================] - 0s 8ms/step - loss: 5.0911e-04\n", + "Epoch 3261/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0911e-04\n", + "Epoch 3262/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0911e-04\n", + "Epoch 3263/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0911e-04\n", + "Epoch 3264/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0911e-04\n", + "Epoch 3265/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3266/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0911e-04\n", + "Epoch 3267/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3268/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0911e-04\n", + "Epoch 3269/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0911e-04\n", + "Epoch 3270/5000\n", + 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+ "1/1 [==============================] - 0s 25ms/step - loss: 5.0911e-04\n", + "Epoch 3281/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0911e-04\n", + "Epoch 3282/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3283/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3284/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0911e-04\n", + "Epoch 3285/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3286/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3287/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0911e-04\n", + "Epoch 3288/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0911e-04\n", + "Epoch 3289/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3290/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0911e-04\n", + "Epoch 3291/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0911e-04\n", + "Epoch 3292/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0911e-04\n", + "Epoch 3293/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0911e-04\n", + "Epoch 3294/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0911e-04\n", + "Epoch 3295/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0911e-04\n", + "Epoch 3296/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3297/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0911e-04\n", + "Epoch 3298/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0911e-04\n", + "Epoch 3299/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0911e-04\n", + "Epoch 3300/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0911e-04\n", + "Epoch 3301/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0911e-04\n", + "Epoch 3302/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0911e-04\n", + "Epoch 3303/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0911e-04\n", + "Epoch 3304/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0911e-04\n", + "Epoch 3305/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0911e-04\n", + "Epoch 3306/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0911e-04\n", + "Epoch 3307/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0911e-04\n", + "Epoch 3308/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0911e-04\n", + "Epoch 3309/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0911e-04\n", + "Epoch 3310/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0911e-04\n", + "Epoch 3311/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0910e-04\n", + "Epoch 3312/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0911e-04\n", + "Epoch 3313/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3314/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3315/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0911e-04\n", + "Epoch 3316/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0911e-04\n", + "Epoch 3317/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3318/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0911e-04\n", + "Epoch 3319/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3320/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0911e-04\n", + "Epoch 3321/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0910e-04\n", + "Epoch 3322/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0910e-04\n", + "Epoch 3323/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3324/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0910e-04\n", + "Epoch 3325/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0910e-04\n", + "Epoch 3326/5000\n", + "1/1 [==============================] - 0s 35ms/step - loss: 5.0910e-04\n", + "Epoch 3327/5000\n", + "1/1 [==============================] - 0s 58ms/step - loss: 5.0910e-04\n", + "Epoch 3328/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0910e-04\n", + "Epoch 3329/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0910e-04\n", + "Epoch 3330/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0910e-04\n", + "Epoch 3331/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0910e-04\n", + "Epoch 3332/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3333/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0910e-04\n", + "Epoch 3334/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0910e-04\n", + "Epoch 3335/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3336/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3337/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3338/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3339/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0910e-04\n", + "Epoch 3340/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0910e-04\n", + "Epoch 3341/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0910e-04\n", + "Epoch 3342/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3343/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3344/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3345/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3346/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3347/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0910e-04\n", + "Epoch 3348/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0910e-04\n", + "Epoch 3349/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3350/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3351/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0910e-04\n", + "Epoch 3352/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0910e-04\n", + "Epoch 3353/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0910e-04\n", + "Epoch 3354/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0910e-04\n", + "Epoch 3355/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0910e-04\n", + "Epoch 3356/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0910e-04\n", + "Epoch 3357/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3358/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3359/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3360/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0910e-04\n", + "Epoch 3361/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3362/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3363/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3364/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0910e-04\n", + "Epoch 3365/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3366/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0910e-04\n", + "Epoch 3367/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0910e-04\n", + "Epoch 3368/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0910e-04\n", + "Epoch 3369/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3370/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0910e-04\n", + "Epoch 3371/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0910e-04\n", + "Epoch 3372/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0910e-04\n", + "Epoch 3373/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0910e-04\n", + "Epoch 3374/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3375/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3376/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0910e-04\n", + "Epoch 3377/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3378/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3379/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0910e-04\n", + "Epoch 3380/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3381/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3382/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0910e-04\n", + "Epoch 3383/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0910e-04\n", + "Epoch 3384/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0910e-04\n", + "Epoch 3385/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0910e-04\n", + "Epoch 3386/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0910e-04\n", + "Epoch 3387/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3388/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0910e-04\n", + "Epoch 3389/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3390/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0910e-04\n", + "Epoch 3391/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0910e-04\n", + "Epoch 3392/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3393/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0910e-04\n", + "Epoch 3394/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3395/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0910e-04\n", + "Epoch 3396/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0910e-04\n", + "Epoch 3397/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0910e-04\n", + "Epoch 3398/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3399/5000\n", + 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+ "1/1 [==============================] - 0s 9ms/step - loss: 5.0910e-04\n", + "Epoch 3410/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0910e-04\n", + "Epoch 3411/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0910e-04\n", + "Epoch 3412/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0910e-04\n", + "Epoch 3413/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0910e-04\n", + "Epoch 3414/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3415/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0910e-04\n", + "Epoch 3416/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0910e-04\n", + "Epoch 3417/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0910e-04\n", + "Epoch 3418/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3419/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0910e-04\n", + "Epoch 3420/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0909e-04\n", + "Epoch 3421/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3422/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0909e-04\n", + "Epoch 3423/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0909e-04\n", + "Epoch 3424/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3425/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0909e-04\n", + "Epoch 3426/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0909e-04\n", + "Epoch 3427/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0909e-04\n", + "Epoch 3428/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0909e-04\n", + "Epoch 3429/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0909e-04\n", + "Epoch 3430/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3431/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0909e-04\n", + "Epoch 3432/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0909e-04\n", + "Epoch 3433/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3434/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0909e-04\n", + "Epoch 3435/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0909e-04\n", + "Epoch 3436/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0909e-04\n", + "Epoch 3437/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3438/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3439/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3440/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0909e-04\n", + "Epoch 3441/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0909e-04\n", + "Epoch 3442/5000\n", + "1/1 [==============================] - 0s 64ms/step - loss: 5.0909e-04\n", + "Epoch 3443/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0909e-04\n", + "Epoch 3444/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3445/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0909e-04\n", + "Epoch 3446/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0909e-04\n", + "Epoch 3447/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0909e-04\n", + "Epoch 3448/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0909e-04\n", + "Epoch 3449/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0909e-04\n", + "Epoch 3450/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0909e-04\n", + "Epoch 3451/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3452/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0909e-04\n", + "Epoch 3453/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0909e-04\n", + "Epoch 3454/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3455/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0909e-04\n", + "Epoch 3456/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0909e-04\n", + "Epoch 3457/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0909e-04\n", + "Epoch 3458/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3459/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3460/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0909e-04\n", + "Epoch 3461/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3462/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0909e-04\n", + "Epoch 3463/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0909e-04\n", + "Epoch 3464/5000\n", + "1/1 [==============================] - 0s 70ms/step - loss: 5.0909e-04\n", + "Epoch 3465/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0909e-04\n", + "Epoch 3466/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0909e-04\n", + "Epoch 3467/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3468/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3469/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3470/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0909e-04\n", + "Epoch 3471/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3472/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3473/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0909e-04\n", + "Epoch 3474/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3475/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0909e-04\n", + "Epoch 3476/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3477/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0909e-04\n", + "Epoch 3478/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3479/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3480/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3481/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0909e-04\n", + "Epoch 3482/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3483/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0909e-04\n", + "Epoch 3484/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3485/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0909e-04\n", + "Epoch 3486/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3487/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0909e-04\n", + "Epoch 3488/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3489/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3490/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3491/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3492/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3493/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3494/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3495/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3496/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3497/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3498/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0909e-04\n", + "Epoch 3499/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0909e-04\n", + "Epoch 3500/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0909e-04\n", + "Epoch 3501/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3502/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0909e-04\n", + "Epoch 3503/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0909e-04\n", + "Epoch 3504/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3505/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3506/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3507/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3508/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0909e-04\n", + "Epoch 3509/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3510/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0909e-04\n", + "Epoch 3511/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3512/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0909e-04\n", + "Epoch 3513/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3514/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3515/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0909e-04\n", + "Epoch 3516/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0909e-04\n", + "Epoch 3517/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0909e-04\n", + "Epoch 3518/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0909e-04\n", + "Epoch 3519/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0909e-04\n", + "Epoch 3520/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0909e-04\n", + "Epoch 3521/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0909e-04\n", + "Epoch 3522/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0909e-04\n", + "Epoch 3523/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0909e-04\n", + "Epoch 3524/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0908e-04\n", + "Epoch 3525/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0909e-04\n", + "Epoch 3526/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0908e-04\n", + "Epoch 3527/5000\n", + "1/1 [==============================] - 0s 85ms/step - loss: 5.0909e-04\n", + "Epoch 3528/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3529/5000\n", + "1/1 [==============================] - 0s 27ms/step - loss: 5.0908e-04\n", + "Epoch 3530/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0909e-04\n", + "Epoch 3531/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3532/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3533/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0908e-04\n", + "Epoch 3534/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3535/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3536/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0908e-04\n", + "Epoch 3537/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0908e-04\n", + "Epoch 3538/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3539/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3540/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3541/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0908e-04\n", + "Epoch 3542/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3543/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3544/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0908e-04\n", + "Epoch 3545/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0908e-04\n", + "Epoch 3546/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3547/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3548/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0908e-04\n", + "Epoch 3549/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3550/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3551/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3552/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3553/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3554/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3555/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0908e-04\n", + "Epoch 3556/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3557/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3558/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3559/5000\n", + "1/1 [==============================] - 0s 37ms/step - loss: 5.0908e-04\n", + "Epoch 3560/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0908e-04\n", + "Epoch 3561/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3562/5000\n", + "1/1 [==============================] - 0s 65ms/step - loss: 5.0908e-04\n", + "Epoch 3563/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0908e-04\n", + "Epoch 3564/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3565/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3566/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0908e-04\n", + "Epoch 3567/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0908e-04\n", + "Epoch 3568/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0908e-04\n", + "Epoch 3569/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0908e-04\n", + "Epoch 3570/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3571/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0908e-04\n", + "Epoch 3572/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3573/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0908e-04\n", + "Epoch 3574/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3575/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0908e-04\n", + "Epoch 3576/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0908e-04\n", + "Epoch 3577/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3578/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3579/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3580/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0908e-04\n", + "Epoch 3581/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0908e-04\n", + "Epoch 3582/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0908e-04\n", + "Epoch 3583/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3584/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0908e-04\n", + "Epoch 3585/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0908e-04\n", + "Epoch 3586/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0908e-04\n", + "Epoch 3587/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0908e-04\n", + "Epoch 3588/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0908e-04\n", + "Epoch 3589/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0908e-04\n", + "Epoch 3590/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3591/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0908e-04\n", + "Epoch 3592/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3593/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3594/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3595/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3596/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0908e-04\n", + "Epoch 3597/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0908e-04\n", + "Epoch 3598/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3599/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3600/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3601/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3602/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3603/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0908e-04\n", + "Epoch 3604/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3605/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3606/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0908e-04\n", + "Epoch 3607/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3608/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0908e-04\n", + "Epoch 3609/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3610/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3611/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0908e-04\n", + "Epoch 3612/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3613/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3614/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0908e-04\n", + "Epoch 3615/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3616/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0908e-04\n", + "Epoch 3617/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0908e-04\n", + "Epoch 3618/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0908e-04\n", + "Epoch 3619/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0908e-04\n", + "Epoch 3620/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0908e-04\n", + "Epoch 3621/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0908e-04\n", + "Epoch 3622/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0908e-04\n", + "Epoch 3623/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0908e-04\n", + "Epoch 3624/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0908e-04\n", + "Epoch 3625/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3626/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0908e-04\n", + "Epoch 3627/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0908e-04\n", + "Epoch 3628/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0908e-04\n", + "Epoch 3629/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0908e-04\n", + "Epoch 3630/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3631/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3632/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0908e-04\n", + "Epoch 3633/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3634/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3635/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0908e-04\n", + "Epoch 3636/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3637/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0907e-04\n", + "Epoch 3638/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3639/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3640/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0907e-04\n", + "Epoch 3641/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0907e-04\n", + "Epoch 3642/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3643/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0907e-04\n", + "Epoch 3644/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0907e-04\n", + "Epoch 3645/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3646/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0907e-04\n", + "Epoch 3647/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3648/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3649/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0907e-04\n", + "Epoch 3650/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3651/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3652/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0907e-04\n", + "Epoch 3653/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0907e-04\n", + "Epoch 3654/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3655/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0907e-04\n", + "Epoch 3656/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0907e-04\n", + "Epoch 3657/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3658/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3659/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0907e-04\n", + "Epoch 3660/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3661/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0907e-04\n", + "Epoch 3662/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0907e-04\n", + "Epoch 3663/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0907e-04\n", + "Epoch 3664/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0907e-04\n", + "Epoch 3665/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3666/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0907e-04\n", + "Epoch 3667/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3668/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3669/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0907e-04\n", + "Epoch 3670/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0907e-04\n", + "Epoch 3671/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3672/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3673/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0907e-04\n", + "Epoch 3674/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3675/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0907e-04\n", + "Epoch 3676/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3677/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0907e-04\n", + "Epoch 3678/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0907e-04\n", + "Epoch 3679/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0907e-04\n", + "Epoch 3680/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3681/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0907e-04\n", + "Epoch 3682/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0907e-04\n", + "Epoch 3683/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3684/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3685/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3686/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3687/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3688/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3689/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3690/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0907e-04\n", + "Epoch 3691/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0907e-04\n", + "Epoch 3692/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3693/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3694/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0907e-04\n", + "Epoch 3695/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0907e-04\n", + "Epoch 3696/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3697/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0907e-04\n", + "Epoch 3698/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0907e-04\n", + "Epoch 3699/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0907e-04\n", + "Epoch 3700/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0907e-04\n", + "Epoch 3701/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3702/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3703/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0907e-04\n", + "Epoch 3704/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3705/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0907e-04\n", + "Epoch 3706/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0907e-04\n", + "Epoch 3707/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3708/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0907e-04\n", + "Epoch 3709/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3710/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0907e-04\n", + "Epoch 3711/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3712/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0907e-04\n", + "Epoch 3713/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0907e-04\n", + "Epoch 3714/5000\n", + "1/1 [==============================] - 0s 171ms/step - loss: 5.0907e-04\n", + "Epoch 3715/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3716/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3717/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3718/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3719/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3720/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3721/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0907e-04\n", + "Epoch 3722/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3723/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0907e-04\n", + "Epoch 3724/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3725/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0907e-04\n", + "Epoch 3726/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3727/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0907e-04\n", + "Epoch 3728/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0907e-04\n", + "Epoch 3729/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3730/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0907e-04\n", + "Epoch 3731/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3732/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0906e-04\n", + "Epoch 3733/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3734/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3735/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3736/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0906e-04\n", + "Epoch 3737/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0906e-04\n", + "Epoch 3738/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3739/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3740/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3741/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3742/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0906e-04\n", + "Epoch 3743/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3744/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3745/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3746/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3747/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0906e-04\n", + "Epoch 3748/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3749/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3750/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3751/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0906e-04\n", + "Epoch 3752/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3753/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3754/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3755/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3756/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3757/5000\n", + "1/1 [==============================] - 0s 24ms/step - loss: 5.0906e-04\n", + "Epoch 3758/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3759/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3760/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3761/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3762/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0906e-04\n", + "Epoch 3763/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3764/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0906e-04\n", + "Epoch 3765/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3766/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3767/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0906e-04\n", + "Epoch 3768/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0906e-04\n", + "Epoch 3769/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0906e-04\n", + "Epoch 3770/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3771/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3772/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3773/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0906e-04\n", + "Epoch 3774/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3775/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0906e-04\n", + "Epoch 3776/5000\n", + "1/1 [==============================] - 0s 136ms/step - loss: 5.0906e-04\n", + "Epoch 3777/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0906e-04\n", + "Epoch 3778/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0906e-04\n", + "Epoch 3779/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0906e-04\n", + "Epoch 3780/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0906e-04\n", + "Epoch 3781/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3782/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0906e-04\n", + "Epoch 3783/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3784/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3785/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3786/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3787/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0906e-04\n", + "Epoch 3788/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3789/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3790/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3791/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3792/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0906e-04\n", + "Epoch 3793/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3794/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3795/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0906e-04\n", + "Epoch 3796/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0906e-04\n", + "Epoch 3797/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3798/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3799/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0906e-04\n", + "Epoch 3800/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3801/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3802/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0906e-04\n", + "Epoch 3803/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3804/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3805/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3806/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3807/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0906e-04\n", + "Epoch 3808/5000\n", + "1/1 [==============================] - 0s 26ms/step - loss: 5.0906e-04\n", + "Epoch 3809/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3810/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3811/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3812/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0906e-04\n", + "Epoch 3813/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3814/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0906e-04\n", + "Epoch 3815/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3816/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0906e-04\n", + "Epoch 3817/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3818/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3819/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0906e-04\n", + "Epoch 3820/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0906e-04\n", + "Epoch 3821/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0906e-04\n", + "Epoch 3822/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0906e-04\n", + "Epoch 3823/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0905e-04\n", + "Epoch 3824/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0906e-04\n", + "Epoch 3825/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0906e-04\n", + "Epoch 3826/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3827/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0906e-04\n", + "Epoch 3828/5000\n", + "1/1 [==============================] - 0s 23ms/step - loss: 5.0906e-04\n", + "Epoch 3829/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3830/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0905e-04\n", + "Epoch 3831/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0905e-04\n", + "Epoch 3832/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3833/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0905e-04\n", + "Epoch 3834/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0905e-04\n", + "Epoch 3835/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0905e-04\n", + "Epoch 3836/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3837/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3838/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0905e-04\n", + "Epoch 3839/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3840/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3841/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3842/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3843/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3844/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3845/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3846/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0905e-04\n", + "Epoch 3847/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3848/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3849/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0905e-04\n", + "Epoch 3850/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3851/5000\n", + "1/1 [==============================] - 0s 23ms/step - loss: 5.0905e-04\n", + "Epoch 3852/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0905e-04\n", + "Epoch 3853/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3854/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3855/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3856/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0905e-04\n", + "Epoch 3857/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3858/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3859/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3860/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3861/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3862/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0905e-04\n", + "Epoch 3863/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3864/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0905e-04\n", + "Epoch 3865/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0905e-04\n", + "Epoch 3866/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0905e-04\n", + "Epoch 3867/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3868/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0905e-04\n", + "Epoch 3869/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0905e-04\n", + "Epoch 3870/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3871/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3872/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3873/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3874/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3875/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3876/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0905e-04\n", + "Epoch 3877/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0905e-04\n", + "Epoch 3878/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3879/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3880/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3881/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0905e-04\n", + "Epoch 3882/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0905e-04\n", + "Epoch 3883/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0905e-04\n", + "Epoch 3884/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3885/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3886/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0905e-04\n", + "Epoch 3887/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3888/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3889/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3890/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0905e-04\n", + "Epoch 3891/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3892/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3893/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3894/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0905e-04\n", + "Epoch 3895/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3896/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3897/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0905e-04\n", + "Epoch 3898/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0905e-04\n", + "Epoch 3899/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0905e-04\n", + "Epoch 3900/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3901/5000\n", + "1/1 [==============================] - 0s 150ms/step - loss: 5.0905e-04\n", + "Epoch 3902/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3903/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0905e-04\n", + "Epoch 3904/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0905e-04\n", + "Epoch 3905/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0905e-04\n", + "Epoch 3906/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0905e-04\n", + "Epoch 3907/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3908/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3909/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3910/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0905e-04\n", + "Epoch 3911/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0905e-04\n", + "Epoch 3912/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0905e-04\n", + "Epoch 3913/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3914/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0905e-04\n", + "Epoch 3915/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0905e-04\n", + "Epoch 3916/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0905e-04\n", + "Epoch 3917/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0904e-04\n", + "Epoch 3918/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0905e-04\n", + "Epoch 3919/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0904e-04\n", + "Epoch 3920/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0904e-04\n", + "Epoch 3921/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3922/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3923/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0904e-04\n", + "Epoch 3924/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3925/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0904e-04\n", + "Epoch 3926/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0904e-04\n", + "Epoch 3927/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0904e-04\n", + "Epoch 3928/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0904e-04\n", + "Epoch 3929/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3930/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0904e-04\n", + "Epoch 3931/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3932/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3933/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0904e-04\n", + "Epoch 3934/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3935/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3936/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3937/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0904e-04\n", + "Epoch 3938/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3939/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3940/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0904e-04\n", + "Epoch 3941/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3942/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3943/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3944/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0904e-04\n", + "Epoch 3945/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3946/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0904e-04\n", + "Epoch 3947/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3948/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3949/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0904e-04\n", + "Epoch 3950/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3951/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3952/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0904e-04\n", + "Epoch 3953/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3954/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0904e-04\n", + "Epoch 3955/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3956/5000\n", + "1/1 [==============================] - 0s 24ms/step - loss: 5.0904e-04\n", + "Epoch 3957/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3958/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3959/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3960/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3961/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0904e-04\n", + "Epoch 3962/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0904e-04\n", + "Epoch 3963/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0904e-04\n", + "Epoch 3964/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3965/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0904e-04\n", + "Epoch 3966/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3967/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3968/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0904e-04\n", + "Epoch 3969/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0904e-04\n", + "Epoch 3970/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0904e-04\n", + "Epoch 3971/5000\n", + "1/1 [==============================] - 0s 22ms/step - loss: 5.0904e-04\n", + "Epoch 3972/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3973/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0904e-04\n", + "Epoch 3974/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3975/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0904e-04\n", + "Epoch 3976/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0904e-04\n", + "Epoch 3977/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3978/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0904e-04\n", + "Epoch 3979/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0904e-04\n", + "Epoch 3980/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3981/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0904e-04\n", + "Epoch 3982/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0904e-04\n", + "Epoch 3983/5000\n", + "1/1 [==============================] - 0s 30ms/step - loss: 5.0904e-04\n", + "Epoch 3984/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0904e-04\n", + "Epoch 3985/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3986/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3987/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3988/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3989/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0904e-04\n", + "Epoch 3990/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0904e-04\n", + "Epoch 3991/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 3992/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3993/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3994/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3995/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3996/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0904e-04\n", + "Epoch 3997/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0904e-04\n", + "Epoch 3998/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0904e-04\n", + "Epoch 3999/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0904e-04\n", + "Epoch 4000/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0904e-04\n", + "Epoch 4001/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0904e-04\n", + "Epoch 4002/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 4003/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0904e-04\n", + "Epoch 4004/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0904e-04\n", + "Epoch 4005/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4006/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4007/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4008/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4009/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4010/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4011/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0903e-04\n", + "Epoch 4012/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0903e-04\n", + "Epoch 4013/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4014/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0903e-04\n", + "Epoch 4015/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0903e-04\n", + "Epoch 4016/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0903e-04\n", + "Epoch 4017/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0903e-04\n", + "Epoch 4018/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0903e-04\n", + "Epoch 4019/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4020/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0903e-04\n", + "Epoch 4021/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0903e-04\n", + "Epoch 4022/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0903e-04\n", + "Epoch 4023/5000\n", + "1/1 [==============================] - 0s 4ms/step 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11ms/step - loss: 5.0903e-04\n", + "Epoch 4034/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4035/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0903e-04\n", + "Epoch 4036/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0903e-04\n", + "Epoch 4037/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0903e-04\n", + "Epoch 4038/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4039/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0903e-04\n", + "Epoch 4040/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0903e-04\n", + "Epoch 4041/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0903e-04\n", + "Epoch 4042/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0903e-04\n", + "Epoch 4043/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0903e-04\n", + "Epoch 4044/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4045/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4046/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0903e-04\n", + "Epoch 4047/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0903e-04\n", + "Epoch 4048/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4049/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0903e-04\n", + "Epoch 4050/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0903e-04\n", + "Epoch 4051/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0903e-04\n", + "Epoch 4052/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4053/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4054/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0903e-04\n", + "Epoch 4055/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0903e-04\n", + "Epoch 4056/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4057/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0903e-04\n", + "Epoch 4058/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0903e-04\n", + "Epoch 4059/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0903e-04\n", + "Epoch 4060/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0903e-04\n", + "Epoch 4061/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4062/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4063/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4064/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4065/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0903e-04\n", + "Epoch 4066/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0903e-04\n", + "Epoch 4067/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0903e-04\n", + "Epoch 4068/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4069/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4070/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0903e-04\n", + "Epoch 4071/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4072/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0903e-04\n", + "Epoch 4073/5000\n", + "1/1 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"1/1 [==============================] - 0s 12ms/step - loss: 5.0903e-04\n", + "Epoch 4084/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4085/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0903e-04\n", + "Epoch 4086/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0903e-04\n", + "Epoch 4087/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0903e-04\n", + "Epoch 4088/5000\n", + "1/1 [==============================] - 0s 98ms/step - loss: 5.0903e-04\n", + "Epoch 4089/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0903e-04\n", + "Epoch 4090/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0903e-04\n", + "Epoch 4091/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0903e-04\n", + "Epoch 4092/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0902e-04\n", + "Epoch 4093/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0902e-04\n", + "Epoch 4094/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0902e-04\n", + "Epoch 4095/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0902e-04\n", + "Epoch 4096/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0902e-04\n", + "Epoch 4097/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4098/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0902e-04\n", + "Epoch 4099/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4100/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4101/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4102/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0902e-04\n", + "Epoch 4103/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4104/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0902e-04\n", + "Epoch 4105/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4106/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0902e-04\n", + "Epoch 4107/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0902e-04\n", + "Epoch 4108/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4109/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4110/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0902e-04\n", + "Epoch 4111/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0902e-04\n", + "Epoch 4112/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0902e-04\n", + "Epoch 4113/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4114/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4115/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0902e-04\n", + "Epoch 4116/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4117/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4118/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4119/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4120/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4121/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4122/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0902e-04\n", + "Epoch 4123/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0902e-04\n", + "Epoch 4124/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4125/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4126/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0902e-04\n", + "Epoch 4127/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4128/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0902e-04\n", + "Epoch 4129/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4130/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4131/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0902e-04\n", + "Epoch 4132/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0902e-04\n", + "Epoch 4133/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0902e-04\n", + "Epoch 4134/5000\n", + "1/1 [==============================] - 0s 56ms/step - loss: 5.0902e-04\n", + "Epoch 4135/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0902e-04\n", + "Epoch 4136/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0902e-04\n", + "Epoch 4137/5000\n", + "1/1 [==============================] - 0s 39ms/step - loss: 5.0902e-04\n", + "Epoch 4138/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0902e-04\n", + "Epoch 4139/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4140/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4141/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0902e-04\n", + "Epoch 4142/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0902e-04\n", + "Epoch 4143/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4144/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4145/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0902e-04\n", + "Epoch 4146/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0902e-04\n", + "Epoch 4147/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0902e-04\n", + "Epoch 4148/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0902e-04\n", + "Epoch 4149/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0902e-04\n", + "Epoch 4150/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4151/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4152/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0902e-04\n", + "Epoch 4153/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4154/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4155/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0902e-04\n", + "Epoch 4156/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4157/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0902e-04\n", + "Epoch 4158/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4159/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0902e-04\n", + "Epoch 4160/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4161/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4162/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0902e-04\n", + "Epoch 4163/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0902e-04\n", + "Epoch 4164/5000\n", + "1/1 [==============================] - 0s 56ms/step - loss: 5.0902e-04\n", + "Epoch 4165/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0902e-04\n", + "Epoch 4166/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0902e-04\n", + "Epoch 4167/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4168/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0902e-04\n", + "Epoch 4169/5000\n", + "1/1 [==============================] - 0s 24ms/step - loss: 5.0902e-04\n", + "Epoch 4170/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0902e-04\n", + "Epoch 4171/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0902e-04\n", + "Epoch 4172/5000\n", + "1/1 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4192/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0901e-04\n", + "Epoch 4193/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0901e-04\n", + "Epoch 4194/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0901e-04\n", + "Epoch 4195/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0901e-04\n", + "Epoch 4196/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0901e-04\n", + "Epoch 4197/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0901e-04\n", + "Epoch 4198/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0901e-04\n", + "Epoch 4199/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0901e-04\n", + "Epoch 4200/5000\n", + "1/1 [==============================] - 0s 23ms/step - loss: 5.0901e-04\n", + "Epoch 4201/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0901e-04\n", + 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loss: 5.0901e-04\n", + "Epoch 4232/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0901e-04\n", + "Epoch 4233/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0901e-04\n", + "Epoch 4234/5000\n", + "1/1 [==============================] - 0s 27ms/step - loss: 5.0901e-04\n", + "Epoch 4235/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0901e-04\n", + "Epoch 4236/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0901e-04\n", + "Epoch 4237/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0901e-04\n", + "Epoch 4238/5000\n", + "1/1 [==============================] - 0s 24ms/step - loss: 5.0901e-04\n", + "Epoch 4239/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0901e-04\n", + "Epoch 4240/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0901e-04\n", + "Epoch 4241/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0901e-04\n", + "Epoch 4242/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0901e-04\n", + "Epoch 4243/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0901e-04\n", + "Epoch 4244/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0901e-04\n", + "Epoch 4245/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0901e-04\n", + "Epoch 4246/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0901e-04\n", + "Epoch 4247/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0901e-04\n", + "Epoch 4248/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0901e-04\n", + "Epoch 4249/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0901e-04\n", + "Epoch 4250/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0901e-04\n", + "Epoch 4251/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0900e-04\n", + "Epoch 4252/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4253/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0901e-04\n", + "Epoch 4254/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0900e-04\n", + "Epoch 4255/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0900e-04\n", + "Epoch 4256/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0900e-04\n", + "Epoch 4257/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4258/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0900e-04\n", + "Epoch 4259/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0900e-04\n", + "Epoch 4260/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4261/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0900e-04\n", + "Epoch 4262/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0900e-04\n", + "Epoch 4263/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4264/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4265/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0900e-04\n", + "Epoch 4266/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0900e-04\n", + "Epoch 4267/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0900e-04\n", + "Epoch 4268/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0900e-04\n", + "Epoch 4269/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0900e-04\n", + "Epoch 4270/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0900e-04\n", + "Epoch 4271/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0900e-04\n", + "Epoch 4272/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0900e-04\n", + "Epoch 4273/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0900e-04\n", + "Epoch 4274/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0900e-04\n", + "Epoch 4275/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0900e-04\n", + "Epoch 4276/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0900e-04\n", + "Epoch 4277/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0900e-04\n", + "Epoch 4278/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0900e-04\n", + "Epoch 4279/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0900e-04\n", + "Epoch 4280/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0900e-04\n", + "Epoch 4281/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4282/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4283/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4284/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0900e-04\n", + "Epoch 4285/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0900e-04\n", + "Epoch 4286/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4287/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0900e-04\n", + "Epoch 4288/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4289/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4290/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4291/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4292/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0900e-04\n", + "Epoch 4293/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0900e-04\n", + "Epoch 4294/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0900e-04\n", + "Epoch 4295/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4296/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4297/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0900e-04\n", + "Epoch 4298/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0900e-04\n", + "Epoch 4299/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0900e-04\n", + "Epoch 4300/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0900e-04\n", + "Epoch 4301/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0900e-04\n", + "Epoch 4302/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0900e-04\n", + "Epoch 4303/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4304/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4305/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0900e-04\n", + "Epoch 4306/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0900e-04\n", + "Epoch 4307/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4308/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4309/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4310/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0900e-04\n", + "Epoch 4311/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0900e-04\n", + "Epoch 4312/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4313/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0900e-04\n", + "Epoch 4314/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0900e-04\n", + "Epoch 4315/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0900e-04\n", + "Epoch 4316/5000\n", + "1/1 [==============================] - 0s 35ms/step - loss: 5.0900e-04\n", + "Epoch 4317/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0900e-04\n", + "Epoch 4318/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0900e-04\n", + "Epoch 4319/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0900e-04\n", + "Epoch 4320/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0900e-04\n", + "Epoch 4321/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0900e-04\n", + "Epoch 4322/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0900e-04\n", + "Epoch 4323/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0900e-04\n", + "Epoch 4324/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0900e-04\n", + "Epoch 4325/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0900e-04\n", + "Epoch 4326/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0900e-04\n", + "Epoch 4327/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0900e-04\n", + "Epoch 4328/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0899e-04\n", + "Epoch 4329/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0899e-04\n", + "Epoch 4330/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0899e-04\n", + "Epoch 4331/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0899e-04\n", + "Epoch 4332/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0899e-04\n", + "Epoch 4333/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0899e-04\n", + "Epoch 4334/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0899e-04\n", + "Epoch 4335/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0899e-04\n", + "Epoch 4336/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0899e-04\n", + "Epoch 4337/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0899e-04\n", + "Epoch 4338/5000\n", + "1/1 [==============================] - 0s 33ms/step - loss: 5.0899e-04\n", + "Epoch 4339/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4340/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4341/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0899e-04\n", + "Epoch 4342/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0899e-04\n", + "Epoch 4343/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4344/5000\n", + "1/1 [==============================] - 0s 56ms/step - loss: 5.0899e-04\n", + "Epoch 4345/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0899e-04\n", + "Epoch 4346/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0899e-04\n", + "Epoch 4347/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0899e-04\n", + "Epoch 4348/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4349/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0899e-04\n", + "Epoch 4350/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0899e-04\n", + "Epoch 4351/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0899e-04\n", + "Epoch 4352/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0899e-04\n", + "Epoch 4353/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0899e-04\n", + "Epoch 4354/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0899e-04\n", + "Epoch 4355/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0899e-04\n", + "Epoch 4356/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0899e-04\n", + "Epoch 4357/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0899e-04\n", + "Epoch 4358/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0899e-04\n", + "Epoch 4359/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0899e-04\n", + "Epoch 4360/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4361/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0899e-04\n", + "Epoch 4362/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0899e-04\n", + "Epoch 4363/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0899e-04\n", + "Epoch 4364/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0899e-04\n", + "Epoch 4365/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0899e-04\n", + "Epoch 4366/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4367/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0899e-04\n", + "Epoch 4368/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0899e-04\n", + "Epoch 4369/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0899e-04\n", + "Epoch 4370/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4371/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0899e-04\n", + "Epoch 4372/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0899e-04\n", + "Epoch 4373/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4374/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4375/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0899e-04\n", + "Epoch 4376/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0899e-04\n", + "Epoch 4377/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0899e-04\n", + "Epoch 4378/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0899e-04\n", + "Epoch 4379/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4380/5000\n", + "1/1 [==============================] - 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- 0s 13ms/step - loss: 5.0899e-04\n", + "Epoch 4391/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0899e-04\n", + "Epoch 4392/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0899e-04\n", + "Epoch 4393/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0899e-04\n", + "Epoch 4394/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0899e-04\n", + "Epoch 4395/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4396/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4397/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0899e-04\n", + "Epoch 4398/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4399/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0899e-04\n", + "Epoch 4400/5000\n", + "1/1 [==============================] - 0s 81ms/step - loss: 5.0898e-04\n", + "Epoch 4401/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0899e-04\n", + "Epoch 4402/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0898e-04\n", + "Epoch 4403/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0898e-04\n", + "Epoch 4404/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0898e-04\n", + "Epoch 4405/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0898e-04\n", + "Epoch 4406/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4407/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0898e-04\n", + "Epoch 4408/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0898e-04\n", + "Epoch 4409/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0898e-04\n", + "Epoch 4410/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0898e-04\n", + "Epoch 4411/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0898e-04\n", + "Epoch 4412/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0898e-04\n", + "Epoch 4413/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4414/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0898e-04\n", + "Epoch 4415/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0898e-04\n", + "Epoch 4416/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0898e-04\n", + "Epoch 4417/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0898e-04\n", + "Epoch 4418/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0898e-04\n", + "Epoch 4419/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0898e-04\n", + "Epoch 4420/5000\n", + "1/1 [==============================] - 0s 29ms/step - loss: 5.0898e-04\n", + "Epoch 4421/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0898e-04\n", + "Epoch 4422/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0898e-04\n", + "Epoch 4423/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0898e-04\n", + "Epoch 4424/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0898e-04\n", + "Epoch 4425/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0898e-04\n", + "Epoch 4426/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0898e-04\n", + "Epoch 4427/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0898e-04\n", + "Epoch 4428/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0898e-04\n", + "Epoch 4429/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0898e-04\n", + "Epoch 4430/5000\n", + 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+ "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4441/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4442/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0898e-04\n", + "Epoch 4443/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0898e-04\n", + "Epoch 4444/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0898e-04\n", + "Epoch 4445/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0898e-04\n", + "Epoch 4446/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0898e-04\n", + "Epoch 4447/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0898e-04\n", + "Epoch 4448/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0898e-04\n", + "Epoch 4449/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0898e-04\n", + "Epoch 4450/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4451/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4452/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0898e-04\n", + "Epoch 4453/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0898e-04\n", + "Epoch 4454/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0898e-04\n", + "Epoch 4455/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4456/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0898e-04\n", + "Epoch 4457/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4458/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0898e-04\n", + "Epoch 4459/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0898e-04\n", + "Epoch 4460/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0898e-04\n", + "Epoch 4461/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0898e-04\n", + "Epoch 4462/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0898e-04\n", + "Epoch 4463/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4464/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4465/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4466/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0898e-04\n", + "Epoch 4467/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0898e-04\n", + "Epoch 4468/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0898e-04\n", + "Epoch 4469/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0898e-04\n", + "Epoch 4470/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0898e-04\n", + "Epoch 4471/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0898e-04\n", + "Epoch 4472/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0898e-04\n", + "Epoch 4473/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0898e-04\n", + "Epoch 4474/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0898e-04\n", + "Epoch 4475/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4476/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0897e-04\n", + "Epoch 4477/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0897e-04\n", + "Epoch 4478/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0897e-04\n", + "Epoch 4479/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4480/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0897e-04\n", + "Epoch 4481/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0897e-04\n", + "Epoch 4482/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4483/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4484/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4485/5000\n", + "1/1 [==============================] - 0s 22ms/step - loss: 5.0897e-04\n", + "Epoch 4486/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4487/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0897e-04\n", + "Epoch 4488/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0897e-04\n", + "Epoch 4489/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0897e-04\n", + "Epoch 4490/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0897e-04\n", + "Epoch 4491/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0897e-04\n", + "Epoch 4492/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0897e-04\n", + "Epoch 4493/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0897e-04\n", + "Epoch 4494/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0897e-04\n", + "Epoch 4495/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0897e-04\n", + "Epoch 4496/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0897e-04\n", + "Epoch 4497/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4498/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4499/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0897e-04\n", + "Epoch 4500/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0897e-04\n", + "Epoch 4501/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4502/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4503/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0897e-04\n", + "Epoch 4504/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4505/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0897e-04\n", + "Epoch 4506/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0897e-04\n", + "Epoch 4507/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0897e-04\n", + "Epoch 4508/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0897e-04\n", + "Epoch 4509/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0897e-04\n", + "Epoch 4510/5000\n", + "1/1 [==============================] - 0s 26ms/step - loss: 5.0897e-04\n", + "Epoch 4511/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4512/5000\n", + "1/1 [==============================] - 0s 45ms/step - loss: 5.0897e-04\n", + "Epoch 4513/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0897e-04\n", + "Epoch 4514/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0897e-04\n", + "Epoch 4515/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4516/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0897e-04\n", + "Epoch 4517/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0897e-04\n", + "Epoch 4518/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4519/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4520/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0897e-04\n", + "Epoch 4521/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0897e-04\n", + "Epoch 4522/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0897e-04\n", + "Epoch 4523/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4524/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0897e-04\n", + "Epoch 4525/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0897e-04\n", + "Epoch 4526/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0897e-04\n", + "Epoch 4527/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0897e-04\n", + "Epoch 4528/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4529/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0897e-04\n", + "Epoch 4530/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4531/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4532/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0897e-04\n", + "Epoch 4533/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0897e-04\n", + "Epoch 4534/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0897e-04\n", + "Epoch 4535/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0897e-04\n", + "Epoch 4536/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0897e-04\n", + "Epoch 4537/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0897e-04\n", + "Epoch 4538/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0897e-04\n", + "Epoch 4539/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0896e-04\n", + "Epoch 4540/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0897e-04\n", + "Epoch 4541/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0896e-04\n", + "Epoch 4542/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0897e-04\n", + "Epoch 4543/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4544/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0896e-04\n", + "Epoch 4545/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0896e-04\n", + "Epoch 4546/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4547/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0896e-04\n", + "Epoch 4548/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0896e-04\n", + "Epoch 4549/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4550/5000\n", + "1/1 [==============================] - 0s 22ms/step - loss: 5.0896e-04\n", + "Epoch 4551/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4552/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4553/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4554/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0896e-04\n", + "Epoch 4555/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4556/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4557/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0896e-04\n", + "Epoch 4558/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0896e-04\n", + "Epoch 4559/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4560/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0896e-04\n", + "Epoch 4561/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0896e-04\n", + "Epoch 4562/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0896e-04\n", + "Epoch 4563/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0896e-04\n", + "Epoch 4564/5000\n", + "1/1 [==============================] - 0s 30ms/step - loss: 5.0896e-04\n", + "Epoch 4565/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0896e-04\n", + "Epoch 4566/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4567/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4568/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4569/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0896e-04\n", + "Epoch 4570/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4571/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0896e-04\n", + "Epoch 4572/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0896e-04\n", + "Epoch 4573/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0896e-04\n", + "Epoch 4574/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0896e-04\n", + "Epoch 4575/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0896e-04\n", + "Epoch 4576/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0896e-04\n", + "Epoch 4577/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0896e-04\n", + "Epoch 4578/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0896e-04\n", + "Epoch 4579/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4580/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0896e-04\n", + "Epoch 4581/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4582/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0896e-04\n", + "Epoch 4583/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0896e-04\n", + "Epoch 4584/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0896e-04\n", + "Epoch 4585/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0896e-04\n", + "Epoch 4586/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0896e-04\n", + "Epoch 4587/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4588/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0896e-04\n", + "Epoch 4589/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0896e-04\n", + "Epoch 4590/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0896e-04\n", + "Epoch 4591/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0896e-04\n", + "Epoch 4592/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0896e-04\n", + "Epoch 4593/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0896e-04\n", + "Epoch 4594/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4595/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0896e-04\n", + "Epoch 4596/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0896e-04\n", + "Epoch 4597/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0896e-04\n", + "Epoch 4598/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4599/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0896e-04\n", + "Epoch 4600/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0896e-04\n", + "Epoch 4601/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0896e-04\n", + "Epoch 4602/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0896e-04\n", + "Epoch 4603/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0896e-04\n", + "Epoch 4604/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0896e-04\n", + "Epoch 4605/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0896e-04\n", + "Epoch 4606/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4607/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0895e-04\n", + "Epoch 4608/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0896e-04\n", + "Epoch 4609/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4610/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0895e-04\n", + "Epoch 4611/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4612/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0895e-04\n", + "Epoch 4613/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0895e-04\n", + "Epoch 4614/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4615/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0895e-04\n", + "Epoch 4616/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0895e-04\n", + "Epoch 4617/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4618/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4619/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0895e-04\n", + "Epoch 4620/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4621/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0895e-04\n", + "Epoch 4622/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4623/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4624/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0895e-04\n", + "Epoch 4625/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4626/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0895e-04\n", + "Epoch 4627/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0895e-04\n", + "Epoch 4628/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0895e-04\n", + "Epoch 4629/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0895e-04\n", + "Epoch 4630/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0895e-04\n", + "Epoch 4631/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0895e-04\n", + "Epoch 4632/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4633/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4634/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0895e-04\n", + "Epoch 4635/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0895e-04\n", + "Epoch 4636/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0895e-04\n", + "Epoch 4637/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4638/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0895e-04\n", + "Epoch 4639/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0895e-04\n", + "Epoch 4640/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4641/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0895e-04\n", + "Epoch 4642/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4643/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0895e-04\n", + "Epoch 4644/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4645/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0895e-04\n", + "Epoch 4646/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0895e-04\n", + "Epoch 4647/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0895e-04\n", + "Epoch 4648/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0895e-04\n", + "Epoch 4649/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0895e-04\n", + "Epoch 4650/5000\n", + "1/1 [==============================] - 0s 52ms/step - loss: 5.0895e-04\n", + "Epoch 4651/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0895e-04\n", + "Epoch 4652/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4653/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0895e-04\n", + "Epoch 4654/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0895e-04\n", + "Epoch 4655/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0895e-04\n", + "Epoch 4656/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0895e-04\n", + "Epoch 4657/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0895e-04\n", + "Epoch 4658/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0895e-04\n", + "Epoch 4659/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0895e-04\n", + "Epoch 4660/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4661/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0895e-04\n", + "Epoch 4662/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0895e-04\n", + "Epoch 4663/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0895e-04\n", + "Epoch 4664/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0895e-04\n", + "Epoch 4665/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0895e-04\n", + "Epoch 4666/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0895e-04\n", + "Epoch 4667/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0895e-04\n", + "Epoch 4668/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0895e-04\n", + "Epoch 4669/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0895e-04\n", + "Epoch 4670/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0895e-04\n", + "Epoch 4671/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0895e-04\n", + "Epoch 4672/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0895e-04\n", + "Epoch 4673/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0894e-04\n", + "Epoch 4674/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0895e-04\n", + "Epoch 4675/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4676/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0894e-04\n", + "Epoch 4677/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0894e-04\n", + "Epoch 4678/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4679/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0894e-04\n", + "Epoch 4680/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0894e-04\n", + "Epoch 4681/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0894e-04\n", + "Epoch 4682/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4683/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0894e-04\n", + "Epoch 4684/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0894e-04\n", + "Epoch 4685/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0894e-04\n", + "Epoch 4686/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0894e-04\n", + "Epoch 4687/5000\n", + "1/1 [==============================] - 0s 46ms/step - loss: 5.0894e-04\n", + "Epoch 4688/5000\n", + "1/1 [==============================] - 0s 59ms/step - loss: 5.0894e-04\n", + "Epoch 4689/5000\n", + "1/1 [==============================] - 0s 18ms/step - loss: 5.0894e-04\n", + "Epoch 4690/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0894e-04\n", + "Epoch 4691/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0894e-04\n", + "Epoch 4692/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0894e-04\n", + "Epoch 4693/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0894e-04\n", + "Epoch 4694/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4695/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4696/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4697/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4698/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0894e-04\n", + "Epoch 4699/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0894e-04\n", + "Epoch 4700/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0894e-04\n", + "Epoch 4701/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0894e-04\n", + "Epoch 4702/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0894e-04\n", + "Epoch 4703/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0894e-04\n", + "Epoch 4704/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0894e-04\n", + "Epoch 4705/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0894e-04\n", + "Epoch 4706/5000\n", + "1/1 [==============================] - 0s 29ms/step - loss: 5.0894e-04\n", + "Epoch 4707/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0894e-04\n", + "Epoch 4708/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4709/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4710/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0894e-04\n", + "Epoch 4711/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0894e-04\n", + "Epoch 4712/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4713/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0894e-04\n", + "Epoch 4714/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4715/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4716/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4717/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4718/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4719/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0894e-04\n", + "Epoch 4720/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0894e-04\n", + "Epoch 4721/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0894e-04\n", + "Epoch 4722/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0894e-04\n", + "Epoch 4723/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4724/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0894e-04\n", + "Epoch 4725/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4726/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0894e-04\n", + "Epoch 4727/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0894e-04\n", + "Epoch 4728/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0894e-04\n", + "Epoch 4729/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4730/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4731/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0894e-04\n", + "Epoch 4732/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0894e-04\n", + "Epoch 4733/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0894e-04\n", + "Epoch 4734/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0894e-04\n", + "Epoch 4735/5000\n", + "1/1 [==============================] - 0s 29ms/step - loss: 5.0894e-04\n", + "Epoch 4736/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4737/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4738/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0893e-04\n", + "Epoch 4739/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0893e-04\n", + "Epoch 4740/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0893e-04\n", + "Epoch 4741/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0893e-04\n", + "Epoch 4742/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0893e-04\n", + "Epoch 4743/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0893e-04\n", + "Epoch 4744/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0893e-04\n", + "Epoch 4745/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0893e-04\n", + "Epoch 4746/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4747/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0893e-04\n", + "Epoch 4748/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0893e-04\n", + "Epoch 4749/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0893e-04\n", + "Epoch 4750/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0893e-04\n", + "Epoch 4751/5000\n", + "1/1 [==============================] - 0s 26ms/step - loss: 5.0893e-04\n", + "Epoch 4752/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4753/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0893e-04\n", + "Epoch 4754/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0893e-04\n", + "Epoch 4755/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0893e-04\n", + "Epoch 4756/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0893e-04\n", + "Epoch 4757/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0893e-04\n", + "Epoch 4758/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4759/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4760/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4761/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0893e-04\n", + "Epoch 4762/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4763/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0893e-04\n", + "Epoch 4764/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0893e-04\n", + "Epoch 4765/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0893e-04\n", + "Epoch 4766/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0893e-04\n", + "Epoch 4767/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0893e-04\n", + "Epoch 4768/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0893e-04\n", + "Epoch 4769/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0893e-04\n", + "Epoch 4770/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4771/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4772/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0893e-04\n", + "Epoch 4773/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4774/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0893e-04\n", + "Epoch 4775/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4776/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4777/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0893e-04\n", + "Epoch 4778/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4779/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4780/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4781/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4782/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0893e-04\n", + "Epoch 4783/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0893e-04\n", + "Epoch 4784/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0893e-04\n", + "Epoch 4785/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4786/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0893e-04\n", + "Epoch 4787/5000\n", + "1/1 [==============================] - 0s 27ms/step - loss: 5.0893e-04\n", + "Epoch 4788/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0893e-04\n", + "Epoch 4789/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0893e-04\n", + "Epoch 4790/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0893e-04\n", + "Epoch 4791/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0893e-04\n", + "Epoch 4792/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0893e-04\n", + "Epoch 4793/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0893e-04\n", + "Epoch 4794/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0893e-04\n", + "Epoch 4795/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0893e-04\n", + "Epoch 4796/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0893e-04\n", + "Epoch 4797/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0893e-04\n", + "Epoch 4798/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0893e-04\n", + "Epoch 4799/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0893e-04\n", + "Epoch 4800/5000\n", + "1/1 [==============================] - 0s 25ms/step - loss: 5.0892e-04\n", + "Epoch 4801/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0893e-04\n", + "Epoch 4802/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0892e-04\n", + "Epoch 4803/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0892e-04\n", + "Epoch 4804/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0892e-04\n", + "Epoch 4805/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0892e-04\n", + "Epoch 4806/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0892e-04\n", + "Epoch 4807/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0892e-04\n", + "Epoch 4808/5000\n", + "1/1 [==============================] - 0s 30ms/step - loss: 5.0892e-04\n", + "Epoch 4809/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0892e-04\n", + "Epoch 4810/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0892e-04\n", + "Epoch 4811/5000\n", + "1/1 [==============================] - 0s 37ms/step - loss: 5.0892e-04\n", + "Epoch 4812/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0892e-04\n", + "Epoch 4813/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0892e-04\n", + "Epoch 4814/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0892e-04\n", + "Epoch 4815/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0892e-04\n", + "Epoch 4816/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4817/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0892e-04\n", + "Epoch 4818/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0892e-04\n", + "Epoch 4819/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0892e-04\n", + "Epoch 4820/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0892e-04\n", + "Epoch 4821/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0892e-04\n", + "Epoch 4822/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0892e-04\n", + "Epoch 4823/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0892e-04\n", + "Epoch 4824/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0892e-04\n", + "Epoch 4825/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0892e-04\n", + "Epoch 4826/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0892e-04\n", + "Epoch 4827/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0892e-04\n", + "Epoch 4828/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0892e-04\n", + "Epoch 4829/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0892e-04\n", + "Epoch 4830/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0892e-04\n", + "Epoch 4831/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0892e-04\n", + "Epoch 4832/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0892e-04\n", + "Epoch 4833/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4834/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0892e-04\n", + "Epoch 4835/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4836/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0892e-04\n", + "Epoch 4837/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0892e-04\n", + "Epoch 4838/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4839/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0892e-04\n", + "Epoch 4840/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4841/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0892e-04\n", + "Epoch 4842/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0892e-04\n", + "Epoch 4843/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0892e-04\n", + "Epoch 4844/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4845/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4846/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0892e-04\n", + "Epoch 4847/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4848/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0892e-04\n", + "Epoch 4849/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0892e-04\n", + "Epoch 4850/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4851/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0892e-04\n", + "Epoch 4852/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0892e-04\n", + "Epoch 4853/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0892e-04\n", + "Epoch 4854/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0892e-04\n", + "Epoch 4855/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0892e-04\n", + "Epoch 4856/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0892e-04\n", + "Epoch 4857/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0892e-04\n", + "Epoch 4858/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0892e-04\n", + "Epoch 4859/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0892e-04\n", + "Epoch 4860/5000\n", + "1/1 [==============================] - 0s 24ms/step - loss: 5.0891e-04\n", + "Epoch 4861/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0891e-04\n", + "Epoch 4862/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0891e-04\n", + "Epoch 4863/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0891e-04\n", + "Epoch 4864/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0891e-04\n", + "Epoch 4865/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0891e-04\n", + "Epoch 4866/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0891e-04\n", + "Epoch 4867/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0891e-04\n", + "Epoch 4868/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0891e-04\n", + "Epoch 4869/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0891e-04\n", + "Epoch 4870/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0891e-04\n", + "Epoch 4871/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0891e-04\n", + "Epoch 4872/5000\n", + "1/1 [==============================] - 0s 21ms/step - loss: 5.0891e-04\n", + "Epoch 4873/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0891e-04\n", + "Epoch 4874/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4875/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0891e-04\n", + "Epoch 4876/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0891e-04\n", + "Epoch 4877/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0891e-04\n", + "Epoch 4878/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0891e-04\n", + "Epoch 4879/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4880/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4881/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0891e-04\n", + "Epoch 4882/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4883/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4884/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0891e-04\n", + "Epoch 4885/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0891e-04\n", + "Epoch 4886/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0891e-04\n", + "Epoch 4887/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0891e-04\n", + "Epoch 4888/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4889/5000\n", + "1/1 [==============================] - 0s 23ms/step - loss: 5.0891e-04\n", + "Epoch 4890/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4891/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0891e-04\n", + "Epoch 4892/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0891e-04\n", + "Epoch 4893/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4894/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4895/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4896/5000\n", + "1/1 [==============================] - 0s 107ms/step - loss: 5.0891e-04\n", + "Epoch 4897/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0891e-04\n", + "Epoch 4898/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0891e-04\n", + "Epoch 4899/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0891e-04\n", + "Epoch 4900/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0891e-04\n", + "Epoch 4901/5000\n", + "1/1 [==============================] - 0s 23ms/step - loss: 5.0891e-04\n", + "Epoch 4902/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0891e-04\n", + "Epoch 4903/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0891e-04\n", + "Epoch 4904/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0891e-04\n", + "Epoch 4905/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0891e-04\n", + "Epoch 4906/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0891e-04\n", + "Epoch 4907/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0891e-04\n", + "Epoch 4908/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0891e-04\n", + "Epoch 4909/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0891e-04\n", + "Epoch 4910/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0891e-04\n", + "Epoch 4911/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0891e-04\n", + "Epoch 4912/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0891e-04\n", + "Epoch 4913/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0891e-04\n", + "Epoch 4914/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4915/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0891e-04\n", + "Epoch 4916/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0891e-04\n", + "Epoch 4917/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0891e-04\n", + "Epoch 4918/5000\n", + "1/1 [==============================] - 0s 22ms/step - loss: 5.0890e-04\n", + "Epoch 4919/5000\n", + "1/1 [==============================] - 0s 19ms/step - loss: 5.0890e-04\n", + "Epoch 4920/5000\n", + "1/1 [==============================] - 0s 48ms/step - loss: 5.0890e-04\n", + "Epoch 4921/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0890e-04\n", + "Epoch 4922/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0890e-04\n", + "Epoch 4923/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0890e-04\n", + "Epoch 4924/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0890e-04\n", + "Epoch 4925/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0890e-04\n", + "Epoch 4926/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0890e-04\n", + "Epoch 4927/5000\n", + "1/1 [==============================] - 0s 3ms/step - loss: 5.0890e-04\n", + "Epoch 4928/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0890e-04\n", + "Epoch 4929/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0890e-04\n", + "Epoch 4930/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0890e-04\n", + "Epoch 4931/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0890e-04\n", + "Epoch 4932/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0890e-04\n", + "Epoch 4933/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0890e-04\n", + "Epoch 4934/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0890e-04\n", + "Epoch 4935/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0890e-04\n", + "Epoch 4936/5000\n", + "1/1 [==============================] - 0s 13ms/step - loss: 5.0890e-04\n", + "Epoch 4937/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0890e-04\n", + "Epoch 4938/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0890e-04\n", + "Epoch 4939/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0890e-04\n", + "Epoch 4940/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0890e-04\n", + "Epoch 4941/5000\n", + "1/1 [==============================] - 0s 16ms/step - loss: 5.0890e-04\n", + "Epoch 4942/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0890e-04\n", + "Epoch 4943/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0890e-04\n", + "Epoch 4944/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0890e-04\n", + "Epoch 4945/5000\n", + "1/1 [==============================] - 0s 17ms/step - loss: 5.0890e-04\n", + "Epoch 4946/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0890e-04\n", + "Epoch 4947/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0890e-04\n", + "Epoch 4948/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0890e-04\n", + "Epoch 4949/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0890e-04\n", + "Epoch 4950/5000\n", + "1/1 [==============================] - 0s 42ms/step - loss: 5.0890e-04\n", + "Epoch 4951/5000\n", + "1/1 [==============================] - 0s 22ms/step - loss: 5.0890e-04\n", + "Epoch 4952/5000\n", + "1/1 [==============================] - 0s 22ms/step - loss: 5.0890e-04\n", + "Epoch 4953/5000\n", + "1/1 [==============================] - 0s 53ms/step - loss: 5.0890e-04\n", + "Epoch 4954/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0890e-04\n", + "Epoch 4955/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0890e-04\n", + "Epoch 4956/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0890e-04\n", + "Epoch 4957/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0890e-04\n", + "Epoch 4958/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0890e-04\n", + "Epoch 4959/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0890e-04\n", + "Epoch 4960/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0890e-04\n", + "Epoch 4961/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0890e-04\n", + "Epoch 4962/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0890e-04\n", + "Epoch 4963/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0890e-04\n", + "Epoch 4964/5000\n", + "1/1 [==============================] - 0s 9ms/step - loss: 5.0890e-04\n", + "Epoch 4965/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0890e-04\n", + "Epoch 4966/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0890e-04\n", + "Epoch 4967/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0890e-04\n", + "Epoch 4968/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0890e-04\n", + "Epoch 4969/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0890e-04\n", + "Epoch 4970/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0890e-04\n", + "Epoch 4971/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0890e-04\n", + "Epoch 4972/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0890e-04\n", + "Epoch 4973/5000\n", + "1/1 [==============================] - 0s 12ms/step - loss: 5.0890e-04\n", + "Epoch 4974/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0889e-04\n", + "Epoch 4975/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0890e-04\n", + "Epoch 4976/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0890e-04\n", + "Epoch 4977/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0889e-04\n", + "Epoch 4978/5000\n", + "1/1 [==============================] - 0s 20ms/step - loss: 5.0890e-04\n", + "Epoch 4979/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0889e-04\n", + "Epoch 4980/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0889e-04\n", + "Epoch 4981/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0889e-04\n", + "Epoch 4982/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0889e-04\n", + "Epoch 4983/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0889e-04\n", + "Epoch 4984/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0889e-04\n", + "Epoch 4985/5000\n", + "1/1 [==============================] - 0s 6ms/step - loss: 5.0889e-04\n", + "Epoch 4986/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0889e-04\n", + "Epoch 4987/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0889e-04\n", + "Epoch 4988/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0889e-04\n", + "Epoch 4989/5000\n", + "1/1 [==============================] - 0s 14ms/step - loss: 5.0889e-04\n", + "Epoch 4990/5000\n", + "1/1 [==============================] - 0s 7ms/step - loss: 5.0889e-04\n", + "Epoch 4991/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0889e-04\n", + "Epoch 4992/5000\n", + "1/1 [==============================] - 0s 15ms/step - loss: 5.0889e-04\n", + "Epoch 4993/5000\n", + "1/1 [==============================] - 0s 10ms/step - loss: 5.0889e-04\n", + "Epoch 4994/5000\n", + "1/1 [==============================] - 0s 24ms/step - loss: 5.0889e-04\n", + "Epoch 4995/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0889e-04\n", + "Epoch 4996/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0889e-04\n", + "Epoch 4997/5000\n", + "1/1 [==============================] - 0s 8ms/step - loss: 5.0889e-04\n", + "Epoch 4998/5000\n", + "1/1 [==============================] - 0s 5ms/step - loss: 5.0889e-04\n", + "Epoch 4999/5000\n", + "1/1 [==============================] - 0s 4ms/step - loss: 5.0889e-04\n", + "Epoch 5000/5000\n", + "1/1 [==============================] - 0s 11ms/step - loss: 5.0889e-04\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "209uvdbjv5J2", + "outputId": "84264eec-d74e-470f-9514-df2d8a93fea3" + }, + "source": [ + "# Compare true vs. predicted reflectivity\n", + "print(\"True reflectivity:\")\n", + "print(y)\n", + "\n", + "print(\"\\nPredicted reflectivity:\")\n", + "print(model.predict(X))" + ], + "execution_count": 18, + "outputs": [ + { + "output_type": "stream", + "text": [ + "True reflectivity:\n", + "[[ 0. ]\n", + " [ 0.1]\n", + " [-0.1]\n", + " [ 0. ]]\n", + "\n", + "Predicted reflectivity:\n", + "[[-0.02869523]\n", + " [ 0.08825724]\n", + " [-0.09110817]\n", + " [ 0.03154659]]\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 305 + }, + "id": "4YlO6jFIv9kc", + "outputId": "1e71c322-4fe6-4323-a132-d540d8ebec81" + }, + "source": [ + "# Plot loss history\n", + "plt.plot(callback.history['loss'])\n", + "plt.xlim(0,1000)\n", + "plt.title(\"Training Loss\", size=20)\n", + "plt.xlabel(\"Epoch\", size=15)\n", + "plt.ylabel(\"Loss\", size=15)\n", + "plt.show()" + ], + "execution_count": 29, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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qYFD3PP74n0/YXlUTdTkiIo1OSoPGzNKBO4HRwEBgnJkNrNNtCXAx8FCdZTsA1wFHAiOA68zsgGTXvDdpacZPRg9g2YZt/Ou9xVGXIyLS6KR6i2YEUOLuC929EngEGBPbwd0Xu/sMoLbOsqcBr7j7OndfD7wCjEpF0Xszsl8nTjgonztfX0D51qqoyxERaVRSHTTdgaUx06VhW8KWNbPLzKzYzIrLylI3Guza0QPYuL2Ku97QbQRERGI1u8EA7n6vuxe5e1F+fn7K3veQgnacNbQ7/3h3Mcs2bEvZ+4qINHapDpplQGHMdI+wLdnLpsQPTz0YA3730tyoSxERaTRSHTRTgP5m1tvMsoDzgQkNXHYicKqZHRAOAjg1bGs0urdvxeUn9OW56cv5YNG6qMsREWkUUho07l4NXEUQEHOAx9x9lpndYGZnApjZcDMrBc4F7jGzWeGy64BfEYTVFOCGsK1R+dYJfSjIy+GXz82iRidxiohgzfk6XUVFRV5cXJzy9332o2V895GPuOnsQYwd3jPl7y8isj/MbKq7FyVqfc1uMEBjcObgbhQdeAC/nziPjds13FlEWjYFTRKYGdedcShrt1Ty59fmR12OiEikFDRJMqhHHucdUcg/3lnMgrLNUZcjIhIZBU0SXXPaweRkpnPDc7N1zxoRabEUNEmU3zab73/xIN78pIyXPl4ZdTkiIpFQ0CTZ+KMPZGBBO3753Cw2aWCAiLRACpoky0hP48azDmP1pgpueeWTqMsREUk5BU0KDO15ABce2ZN/vruYj5eVR12OiEhKKWhS5H9PG0CHNln89OmZumKAiLQoCpoUyWuVyc++NJDppeU89MGSqMsREUkZBU0KjRnSjZF9O3Lzy3NZtXF71OWIiKSEgiaFzIwbzxpEZXUtP336Y51bIyItgoImxXp3asMPTz2IV+es4rkZK6IuR0Qk6RQ0Ebj02D4MLmzP9RNmsXZzRdTliIgklYImAulpxu/POZxN26u4bsKsqMsREUkqBU1EDurSlqtP6s/zM1bwsi5PIyLNmIImQt86sS8DC9rxs2c+ZsPWyqjLERFJiv0OGjMbYGZfMbNuiSioJclMT+Pmcw5nw9ZKfvGsdqGJSPMUV9CY2T1mdnfM9FhgJvAUMNfMRjZgHaPMbJ6ZlZjZtfXMzzazR8P5k82sV9ieaWb/NLOZZjbHzH4ST+2N1WHd87j65P5MmL6cZz9aFnU5IiIJF+8WzSjgvzHTvwIeBroBE8Pp3TKzdOBOYDQwEBhnZgPrdLsUWO/u/YBbgZvC9nOBbHcfBBwBXL4jhJq6K0/sy9Ce7fn5Mx+zfMO2qMsREUmoeIOmM7AUwMz6A/2Am919JXAvMHQvy48AStx9obtXAo8AY+r0GQP8M3z9BHCymRngQBszywBaAZXAxjjrb5Qy0tO49bwhVNc61zw+nVpdC01EmpF4g2Yd0CV8fQqw0t0/DqcNSN/L8t0JgypUGrbV28fdq4FyoCNB6GwBVgBLgD+4+7q6b2Bml5lZsZkVl5WVNfRzRa5Xpzb8/MsDeXfBWv7x7uKoyxERSZh4g+Yl4AYz+zZwLfBYzLzDgMUJqqs+I4Aagt10vYEfmlmfup3c/V53L3L3ovz8/CSWk3jnDy/klEO6cNPLc5m3clPU5YiIJES8QfND4H3gWwTHan4RM+8s4OW9LL8MKIyZ7hG21dsn3E2WB6wFLgBedvcqd18NvAMUxVl/o2Zm/O7sQbTNzuC7j3zI9qqaqEsSEdlvcQWNu5e7+9fdfZC7/4+7b4yZd5y7/3gvq5gC9Dez3maWBZwPTKjTZwIwPnx9DjDJg6tPLgFOAjCzNsBRwNx46m8KOuVm84fzBjN35SZ+9fzsqMsREdlv8Q5vzjCz7Dptp5rZ98xsbwMBdhxzuYpghNoc4DF3n2VmN5jZmWG3vwEdzawE+AHBLjoIRqvlmtksgsD6h7vPiKf+puILB3fm8uP78ODkJbygC2+KSBNn8Vyq3syeBMrd/evh9NXAbUAFwUCAr7r788kodF8UFRV5cXFx1GXsk6qaWs69+z0WrN7MC1cfR8+OraMuSURaCDOb6u4JOzQR7zGao4AXY6b/F/iju7cC7gN+mqjCWrrM9DT+PG4oGHzn4WlUVtdGXZKIyD6JN2g6AisBzGwQwQiwHVcKeJzgJExJkMIOrbn57MOZXlrOzS83u8NRItJCxBs0q4Be4etRwKfuviCcbgXoz+4EGz2ogP856kDue3uRrvIsIk1SRpz9HwduMrPBwCXAHTHzhgLzE1WY7PKzLx/CjNINXPP4dPp1zqVf59yoSxIRabB4t2iuBe4BBgB/AX4bM+8I4NEE1SUxsjPS+ctFR5Cdkcbl/y5mc0V11CWJiDRYvOfRVLv7De5+hrv/3N0rYuZ91d3/mPgSBaBb+1b8+YKhLFqzhf99fDrxjBYUEYnSPt2PxsyONLMfmtmN4fORiS5MPm9k305cO3oAL328knv+uzDqckREGiSuYzThGfmPEwwEqCa4NExHIN3MXgbOdfetCa9SdvrmcX2YvjQYhTaoex7H9OsUdUkiInsU7xbNzcDRwFggx90LgByCS8kcza57x0iSmBk3n3M4ffNz+fZD0/h07ZaoSxIR2aN4g+Zs4Mfu/ri71wK4e627P04wUODcRBcon9cmO4P7xgcn7X79/imUb6uKuCIRkd2LN2jy+Oz9ZGItBdrtXznSUAd2bMPdFx3Bp2u3ctVD06iu0SlMItI4xRs004Erwjte7hROXxHOlxQ5qk9HbjzrMN6av0ZXehaRRiveEzb/j+DmZ3PN7GmCKwV0JrgXTS9gdEKrk70aO7wnJas389e3FtGvcy7/c3SvqEsSEfmMuILG3SeZ2TDg5wTHYwoIbq08Gbgs8eVJQ1w7+hAWlG3h+udmc2DHNhx/UNO6s6iING9xn0fj7rPc/Xx37+vurcPnC4B84PXElyh7k55m3H7+EPp3zuWKB6by8bLyqEsSEdlpn07YlManbU4m918ygrxWmVxy/xSWrtPpTCLSOChompGueTn88+sjqKiqYfzfP2DdlsqoSxIRUdA0N/27tOW+8cMp3bCNb/xzCtsqa6IuSURauJQHjZmNMrN5ZlZiZtfWMz/bzB4N5082s14x8w43s/fMbJaZzTSznFTW3lSM6N2B28cO4cOlG/jOwx/qHBsRidReg8bMysxs9d4ewN8bsK504E6CYdADgXFmVveunJcC6929H3Ar4WVtzCwDeAD4lrsfCpwI6JT43Rg9qIDrzziUV+es4sdPzqS2Vld7FpFoNGR4851Aov4vNQIocfeFAGb2CDAGiD3bcAxwffj6CeCO8ITQU4EZ7j4dwN3XJqimZmv8yF5s2FrFra9+QpvsdH555qHUOddWRCTp9ho07n59At+vO5+9hE0pUPcWAzv7uHu1mZUTXCH6IMDNbCLBUOpH3P3mum9gZpcRntPTs2fPBJbeNF19cj82V1Tx17cWkZudwY9GDYi6JBFpYeK9MkCUMoBjgeHAVuA1M5vq7q/FdnL3e4F7AYqKilr8/iIz4/9OP4QtlTXc9cYC2mRn8O0v9Iu6LBFpQVIdNMuAwpjpHmFbfX1Kw+MyeQT3vSkF/uvuawDM7EVgGPAaskdmxq/HHMbWimp+P3EeudkZjB/ZK+qyRKSFSPWosylAfzPrbWZZBPexmVCnzwRgfPj6HGCSB/ctnggMMrPWYQCdwGeP7cgepKUZvz93MF8c2IXrJsziwcmfRl2SiLQQKQ0ad68GriIIjTnAY+4+y8xuMLMzw25/AzqaWQnwA4L73ODu64FbCMLqI2Cau7+Qyvqbusz0NO64YCgnDejMT5/+mAfeV9iISPJZsLHQPBUVFXlxcXHUZTQ6FdU1XPnANF6bu5pfjTlUV3wWkc8Ij38XJWp9ujJAC5Sdkc5dFw3jlEO68PNnZ/HPdxdHXZKINGMKmhYqOyOduy4ctvOYzT/eWRR1SSLSTCloWrCsjDTuvGAYpx3ahV8+N5u73iiJuiQRaYYUNC1cVkYad1wwjDFDunHzy/P47UtzaM7H7UQk9ZrSCZuSJJnpadx63hDa5mRwz5sLKd9axY1nDSI9TZerEZH9p6ARIDjP5ldjDqN9qyzueL2ETduruXXsELIytNErIvtHQSM7mRnXnHYwea0yufHFOWyqqObui4bROks/ExHZd/pzVT7nm8f34eazD+ft+WWM++tk1myuiLokEWnCFDRSr/OGF3L3RUcwb+VGvnrXuywo2xx1SSLSRCloZLdOPbQrj1x2NFsqqjn7L+8yZfG6qEsSkSZIQSN7NKSwPU9feQwdWmdx4X2TeX7G8qhLEpEmRkEje9WzY2uevGIkh3fP46qHPuTuNxfoXBsRaTAFjTTIAW2yeOAbR/Klwwv43UtzuebxGWyvqom6LBFpAjRuVRosJzOdP58/lP6dc7nt1fksXLOZey46gs7tcqIuTUQaMW3RSFzS0ozvnXIQf7lwGHNXbOLMO95hRumGqMsSkUZMQSP7ZPSgAp68YiTpaca5d7/Hsx/VvSO3iEhAQSP7bGC3dky46hgGF7bnu498xG9fnEN1TW3UZYlII6Ogkf3SMTebBy49kouO6sk9/13IBfdNZvXG7VGXJSKNSMqDxsxGmdk8Mysxs2vrmZ9tZo+G8yebWa8683ua2WYzuyZVNcueZWWk8euvDOLWsYOZWVrO6X96m/cWrI26LBFpJFIaNGaWDtwJjAYGAuPMbGCdbpcC6929H3ArcFOd+bcALyW7VonfWUN78OxVx9CuVQYX3vc+f3ljAbW1Ot9GpKVL9RbNCKDE3Re6eyXwCDCmTp8xwD/D108AJ5uZAZjZV4BFwKwU1StxOqhLWyZcdSyjBxVw08tzuezfU9mwtTLqskQkQqkOmu7A0pjp0rCt3j7uXg2UAx3NLBf4MfDLPb2BmV1mZsVmVlxWVpawwqXhcrMzuGPcUK4/YyBvfrKa0be/xfsLtStNpKVqSoMBrgdudfc9XkbY3e919yJ3L8rPz09NZfI5ZsbFx/TmyStGkpOZzri/vs8f/zOPKo1KE2lxUh00y4DCmOkeYVu9fcwsA8gD1gJHAjeb2WLge8D/mdlVyS5Y9s/hPdrz/HeO5ZxhPfjzpBLOu+c9lqzdGnVZIpJCqQ6aKUB/M+ttZlnA+cCEOn0mAOPD1+cAkzxwnLv3cvdewG3Ab9z9jlQVLvuuTXYGvz93MH8eN5SS1Zs5/U9v8fSHpbowp0gLkdKgCY+5XAVMBOYAj7n7LDO7wczODLv9jeCYTAnwA+BzQ6ClaTpjcDdevPo4BnRty/cfnc6VD05jre7eKdLsWXP+q7KoqMiLi4ujLkPqqK6p5d63FnLbK/Npm5PBr79yGKMHFURdloiEzGyquxclan1NaTCANBMZ6WlceWI/nvvOsRS0z+GKB6dx9cMfahi0SDOloJHIHNy1LU9feQzfP+UgXpy5gi/e+l9enb0q6rJEJMEUNBKpzPQ0vntKf5759jF0bJPFN/5VzLcfmsbqTbpemkhzoaCRRuGw7nlMuOpYfvDFg3hl1ipO+eObPPzBEl3CRqQZUNBIo5GVkcbVJ/fnpe8dxyEF7fjJUzM5/973KVm9KerSRGQ/KGik0embn8sjlx3FzWcfzrxVmxh9+1vc8sonbK+qibo0EdkHChpplMyM84YX8toPT+D0QQX86bX5nHLLm7z88Uqd6CnSxChopFHrlJvN7ecP5aFvHEnrrHS+9cBUvvb3DyhZvcdL3olII6KgkSZhZL9OvHj1cVx3xkA+WrqBUbf9lxtfmM2m7VVRlyYie6GgkSYjIz2NS47pzevXnMjZw3pw39uLOOmPb/LolCXUaHSaSKOloJEmp1NuNjedczjPXHkMPQ5oxY+fnMno2//L63NX6/iNSCOkoJEma3Bhe566YiR3XTiMiupaLrl/ChfeN5mZpeVRlyYiMRQ00qSZGacPKuCV75/A9WcMZM6KjZxxx9t895EPWbpO970RaQx09WZpVjZur+LuNxbwt7cXUevOeUWFXHVSPwryWkVdmkiTkeirNytopFlaUb6NOyaV8FjxUsyMC0b05Mov9KVz25yoSxNp9BQ0cVDQyLK9gjUAABEMSURBVNJ1W7ljUglPTCslM9342tG9uPz4PnTMzY66NJFGS0ETBwWN7LB4zRb+NGk+z3y4jJzMdMaN6Mk3juutXWoi9VDQxEFBI3UtKNvMnZNKeHb6ctIMvjq0B5ef0Ic++blRlybSaDT5O2ya2Sgzm2dmJWZ2bT3zs83s0XD+ZDPrFbZ/0cymmtnM8PmkVNcuTV/f/FxuGTuEN645kXEjevLMR8s4+ZY3ufLBqXy8TMOiRZIhpVs0ZpYOfAJ8ESgFpgDj3H12TJ8rgcPd/Vtmdj5wlruPNbOhwCp3X25mhwET3b37nt5PWzSyN2WbKvjHO4v493ufsqmimmP7deLSY3tzwkH5pKVZ1OWJRKJJ7zozs6OB6939tHD6JwDu/tuYPhPDPu+ZWQawEsj3mELNzIC1QIG7V+zu/RQ00lAbt1fxwPuf8s93F7NqYwV9OrXh4mN6cfawHrTJzoi6PJGUauq7zroDS2OmS8O2evu4ezVQDnSs0+dsYFp9IWNml5lZsZkVl5WVJaxwad7a5WRy5Yn9eOtHJ3H7+UNo2yqTXzw7i6N++xo3vjBbJ3+K7Icm96eamR0K3AScWt98d78XuBeCLZoUlibNQFZGGmOGdGfMkO5MW7Kev7+9iL+/s5i/vb2IkwZ04cIje3L8Qfmka7eaSIOlOmiWAYUx0z3Ctvr6lIa7zvIIdpNhZj2Ap4GvufuC5JcrLdmwngcw7IIDWL5hGw+8/ymPFS/l1Tmr6N6+FWOHF3JeUSFd83QCqMjepPoYTQbBYICTCQJlCnCBu8+K6fNtYFDMYICvuvt5ZtYeeBP4pbs/1ZD30zEaSaTK6lpenbOKhz9Ywlvz15CeZpw0oDMXjOjJcf07kZGuSwdK89CkBwMAmNnpwG1AOvB3d7/RzG4Ait19gpnlAP8GhgLrgPPdfaGZ/Qz4CTA/ZnWnuvvq3b2XgkaS5dO1W3j4g6U8MXUpazZXkt82m68M6cZXh/XgkIJ2UZcnsl+afNCkkoJGkq2yupZJc1fx1LRlvD5vNVU1zoCubTl7WA/GDOlG53batSZNj4ImDgoaSaX1Wyp5fsZynpy2jI+WbiDN4Nj++Xz58AJOG9iVvNaZUZco0iAKmjgoaCQqC8o288yHy3j6w2WUrt9GRppxTL9OfGlQAace2oX2rbOiLlFktxQ0cVDQSNTcnZnLynlh5gpenLmCpeuC0Dm6b0e+NKiAkw/pQn5bXUlaGhcFTRwUNNKYuDsfL9u4M3SWrNuKGQzu0Z5TDunMSQO6cEhBW4ILX4hER0ETBwWNNFbuzuwVG3ltzmpem7ua6Us3ANC9fStOGtCZkw/pzJG9O9IqKz3iSqUlUtDEQUEjTcXqTdt5fe5qXp2zmrfnr2FbVQ1ZGWkUHXgAx/bvxHH98jm0Wztd6FNSQkETBwWNNEXbq2p4f+Fa3p6/hrdL1jB35SYA2rfO5Ji+nTi2fyeO7tORAzu21m42SYpEB02Tu9aZSHOXk5nOiQd35sSDOwPB1s67JWt5a/4a3i4p44WZKwDo3Dab4b06MLzXAQzv3YEBXdvpGmzSKGmLRqQJcXcWlG3m/YXrmLJ4HVMWrWN5+XYA2mZnMOzAAxjRuwNDC9tzWI882uXo3B2Jn3adxUFBIy3Bsg3bmLJoHR+EwTN/9ead8/rkt2Fwj/YM7pHH4YXtGVjQjpxMDTCQPVPQxEFBIy3R+i2VzFhWzoylG5heWs700g2UbQpu3ZSRZhzUpS2HFLTjkILgeUDXtnTM1bk8souCJg4KGpFgd9vKjduZvrScGaUbmLmsnLkrN+0MHwiO9wwoaMchXdtycNe29OucS5/8XHJ1d9EWSYMBRCQuZkZBXisK8lox6rCuO9vXbK5g3spNzFmxkTkrNjF35Ub+8c5aKmtqd/bp3Dabvvm59MlvQ5/8XPrmt6Fvfi7d2rfSwANpMAWNSAvVKTebTv2yOaZfp51tVTW1fLp2CwvKtrCwbAsLyjazsGwzz89YQfm2qp39MtON7u1bUdihNT0OaE1hh1YUHtCawg6tKTygFR3aZGnoteykoBGRnTLT0+jXuS39Orf9TLu7s25LZRhAm1m8ditL12+ldN1WJi5fybotlZ/p3zornW7tW9G1XQ5d2uXQNS875nUOXdvl0DE3W1tFLYSCRkT2yszomJtNx9xsRvTu8Ln5Wyqqw+DZxtL1W1m6bhvLN2xj5cbtLFiwhtWbKqip/ezx4PQ0o3PbbPLbZtOhTRYd2mTRKTd43bFNFh1zs+jQJnvn69ZZ+t9VU6V/ORHZb22yMxjQtR0DutZ/d9GaWmft5gpWbtzOyvLtrNq4PXxdwdotFazdXMn8VZtZs7mCiuraeteRk5lG+1ZZtGuVQV6rTNrlZAbP4SNoy9jVlpNJm+x0WmdlkJudQU5mmnbnRURBIyJJl55mdG6XQ+d2ORzeY/f93J2tlTWs21LJms0VrNtSydrNlazdUsm6LRWUb6ti47ZqyrdVsaJ8O/NWbaJ8WxWbtlfvtQYzaJOVQeusdNpkZ+wMoTZZ6bTODp/D+dkZ6eRkppGdkUZOZjo5mek7X2dnpJGduWP+Z59zMtPJSDMFWh0pDxozGwXcDqQD97n77+rMzwb+BRwBrAXGuvvicN5PgEuBGuBqd5+YwtJFJMnMLAyBDAo7tG7wcjW1zubt1WzcXhWGURUbt1expaKGrZXVbKmsYWtF8LylIna6mjWbK9mybitbK4J526pqqK7d99M+0iw41hU8jIz0NLJiXmemp5G187V9pu+elks3Iz1t1yOjzuu0Hc9mZKQb6Wm7lontW98yn11n2j5/9t1JadCYWTpwJ/BFoBSYYmYT3H12TLdLgfXu3s/MzgduAsaa2UDgfOBQoBvwqpkd5O41qfwMItL4pKcZea0zyWudSWEC1lddU0tFdfDYXlXToOeKqpqdr6tqnKqa2vCx63V1jVNZ5/Xmimqqwz6VYXt9y9bUOvuRf5FK9RbNCKDE3RcCmNkjwBggNmjGANeHr58A7rBgO3QM8Ii7VwCLzKwkXN97KapdRFqIjPQ0MtLTaNPILpjg7tTUOtW1Tq2Hz+F0Tcyj7nTQVhssUxO27WH5s25KbN2pDpruwNKY6VLgyN31cfdqMysHOobt79dZtnvyShURaVws3C2W0cQuV5f4nXERM7PLzKzYzIrLysqiLkdEpMVLddAsg8/sQu0RttXbx8wygDyCQQENWRZ3v9fdi9y9KD8/P4Gli4jIvkh10EwB+ptZbzPLIji4P6FOnwnA+PD1OcAkD678OQE438yyzaw30B/4IEV1i4jIPkrpMZrwmMtVwESC4c1/d/dZZnYDUOzuE4C/Af8OD/avIwgjwn6PEQwcqAa+rRFnIiKNn24TICIin5Ho2wQ0u8EAIiLSuChoREQkqRQ0IiKSVAoaERFJqmY9GMDMNgHzoq6jkegErIm6iEZC38Uu+i520Xexy8Hu3nbv3Rqmud8mYF4iR040ZWZWrO8ioO9iF30Xu+i72MXMEjpcV7vOREQkqRQ0IiKSVM09aO6NuoBGRN/FLvoudtF3sYu+i10S+l0068EAIiISvea+RSMiIhFT0IiISFI126Axs1FmNs/MSszs2qjrSTYzKzSz181stpnNMrPvhu0dzOwVM5sfPh8QtpuZ/Sn8fmaY2bBoP0FimVm6mX1oZs+H073NbHL4eR8Nb1NBeNuJR8P2yWbWK8q6k8HM2pvZE2Y218zmmNnRLfh38f3wv4+PzexhM8tpKb8NM/u7ma02s49j2uL+HZjZ+LD/fDMbX9971dUsg8bM0oE7gdHAQGCcmQ2MtqqkqwZ+6O4DgaOAb4ef+VrgNXfvD7wWTkPw3fQPH5cBf0l9yUn1XWBOzPRNwK3u3g9YD1watl8KrA/bbw37NTe3Ay+7+wBgMMH30uJ+F2bWHbgaKHL3wwhuVXI+Lee3cT8wqk5bXL8DM+sAXAccCYwArtsRTnvk7s3uARwNTIyZ/gnwk6jrSvF38CzwRYIrIxSEbQUEJ7EC3AOMi+m/s19TfxDcffU14CTgecAIzvjOqPv7ILg30tHh64ywn0X9GRL4XeQBi+p+phb6u+gOLAU6hP/WzwOntaTfBtAL+HhffwfAOOCemPbP9Nvdo1lu0bDrB7VDadjWIoSb+EOByUAXd18RzloJdAlfN+fv6DbgR0BtON0R2ODu1eF07Gfd+T2E88vD/s1Fb6AM+Ee4K/E+M2tDC/xduPsy4A/AEmAFwb/1VFrubwPi/x3s0++juQZNi2VmucCTwPfcfWPsPA/+BGnW49nN7MvAanefGnUtjUQGMAz4i7sPBbawa/cI0DJ+FwDhLp4xBOHbDWjD53cltVjJ/B0016BZBhTGTPcI25o1M8skCJkH3f2psHmVmRWE8wuA1WF7c/2OjgHONLPFwCMEu89uB9qb2Y5r+8V+1p3fQzg/D1ibyoKTrBQodffJ4fQTBMHT0n4XAKcAi9y9zN2rgKcIfi8t9bcB8f8O9un30VyDZgrQPxxNkkVwwG9CxDUllZkZ8DdgjrvfEjNrArBjZMh4gmM3O9q/Fo4uOQooj9mEbrLc/Sfu3sPdexH8u09y9wuB14Fzwm51v4cd3885Yf9m89e9u68ElprZwWHTycBsWtjvIrQEOMrMWof/vez4LlrkbyMU7+9gInCqmR0QbiGeGrbtWdQHp5J40Ot04BNgAfDTqOtJwec9lmCzdwbwUfg4nWCf8mvAfOBVoEPY3whG5i0AZhKMxIn8cyT4OzkReD583Qf4ACgBHgeyw/accLoknN8n6rqT8D0MAYrD38YzwAEt9XcB/BKYC3wM/BvIbim/DeBhgmNTVQRbupfuy+8A+Hr4nZQAlzTkvXUJGhERSarmuutMREQaCQWNiIgklYJGRESSSkEjIiJJpaAREZGkUtCI7IWZXW9mvpvHRRHU42Z2VarfV2RfZey9i4gQXOeqvsuVlKS6EJGmRkEj0jDV7v5+1EWINEXadSayn8ysV7g76wIz+7eZbQpvMHVdPX1PCm+itd3MVpnZXeGFUGP7dDSze8xsRdhvnpl9r86q0s3sN2ZWFr7XnWaWndQPKrKPtEUj0kAxF17cyXddXh7g9wT3ODkHOJ7gplBr3P3OcPlDgZeBV4CzCS5O+DuCS6CMCvu0At4AOrPrcin9wkesHwKTgIuAw4HfAp8CN+//JxVJLF2CRmQvzOx6grsK1qd3+LwIeMXdT41Z7q8E15srdPdaM3sEOAIY4O41YZ/zgEeBke7+npldTnA3w2Hu/tFu6nHgLXc/PqbtGaCrux+1Hx9VJCm060ykYcqB4fU8lsf0ebrOMk8R3PekRzg9Anh6R8iEniS4Dfex4fRJwIe7C5kY/6kzPTvmfUQaFe06E2mYancvrm9GcMV5YNe9POpOFxBcor4AWBXbwd1rzGwtwe2FIbiabkMuy7+hznQlwdWGRRodbdGIJE7n3UyviHn+TB8zSycIl3Vh01qCQBJpNhQ0IolzVp3prxKES2k4PRk4KwyX2D4ZwNvh9GvAUDM7PJmFiqSSdp2JNExGeKfBupbGvD7UzO4hOO5yPMGNpb7r7rXh/F8DHwLPmNlfCI6p3ARMdPf3wj7/Ar4N/CcchDCPYMDBQe5+bYI/k0hKKGhEGiYPeK+e9p8DD4SvfwR8mSBotgO/Au7Y0dHdZ5nZaOA3BAMFNhLc9fBHMX22m9lJBMOebwDaAYuBuxL7cURSR8ObRfaTmfUiGN58hrs/H201Io2PjtGIiEhSKWhERCSptOtMRESSSls0IiKSVAoaERFJKgWNiIgklYJGRESSSkEjIiJJ9f9Jyf8t6/HSJwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "i8T3CK6ewimy", + "outputId": "6bd8e88e-c6a7-4fd5-ed72-3c361a363bc0" + }, + "source": [ + "# Print weights of layer 1\n", + "model.layers[0].get_weights()" + ], + "execution_count": 20, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "[array([[-1.0630618 , -0.45149684],\n", + " [-1.4469109 , 1.4399436 ]], dtype=float32)]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 20 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "DjFduB5Lwyl4", + "outputId": "994f9359-6b66-439d-fd8b-1cedceddbf20" + }, + "source": [ + "# Print weights of layer 2\n", + "model.layers[1].get_weights()" + ], + "execution_count": 21, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "[array([[-0.59749764],\n", + " [ 0.39891523]], dtype=float32)]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 21 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "2IcjrqYhwCAq" + }, + "source": [ + "# Retrieve weights\n", + "w1, w2 = [], []\n", + "for epoch,weights in weights_dict.items():\n", + " # Weights of first layer\n", + " w1.append(weights[0])\n", + " # Weights of second layer\n", + " w2.append(weights[1])\n", + "\n", + "w1, w2 = np.array(w1), np.array(w2)" + ], + "execution_count": 22, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "id": "qbASM-XX2wIV", + "outputId": "1641b2e6-1f1f-4dcd-81fc-5f25931bef46" + }, + "source": [ + "# Plot weights history\n", + "plt.figure(figsize=(9,4))\n", + "\n", + "plt.subplot(1,2,1)\n", + "for i in range(2):\n", + " for j in range(2):\n", + " plt.plot(w1[:,i,j], label=\"w1_{},{}\".format(i,j))\n", + "plt.xlim(0,5000)\n", + "plt.title(\"Evolution of 1st Layer Weights\", size=17, pad=10)\n", + "plt.xlabel(\"Epoch\", size=15); plt.ylabel(\"$w_1$\", size=15)\n", + "plt.legend(loc='right')\n", + "\n", + "plt.subplot(1,2,2)\n", + "for i in range(2):\n", + " plt.plot(w2[:,i,0], label=\"w1_{},0\".format(i))\n", + "plt.xlim(0,5000)\n", + "plt.title(\"Evolution of 2nd Layer Weights\", size=17, pad=10)\n", + "plt.xlabel(\"Epoch\", size=15); plt.ylabel(\"$w_2$\", size=15)\n", + "plt.legend(loc='right')\n", + "\n", + "plt.tight_layout(1.1)\n", + "plt.show()" + ], + "execution_count": 28, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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