Merge pull request #72 from Randheerrrk/master

day 4

Author: gksoriginals

Tasks/daily tasks/Randheerrrk/day4.ipynb

@@ -0,0 +1,103 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "day4.ipynb",
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "HiM8CZJPk6jc",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "import torch.nn as nn\n",
+        "import torch.nn.functional as f"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "sOedKVRUlJ9y",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "class Net(nn.Module) :\n",
+        "  def __init__(self) :\n",
+        "    super(Net, self).__init__()\n",
+        "    self.i = nn.Linear(64, 32)\n",
+        "    self.h = nn.Linear(32, 16)\n",
+        "    self.o = nn.Linear(16, 10)\n",
+        "  def forward(sefl, X) :\n",
+        "    X = self.i(X)\n",
+        "    X = f.Sigmoid(X)\n",
+        "    X = self.h(X)\n",
+        "    X = f.Sigmoid(X)\n",
+        "    X = self.o(X)\n",
+        "    return X"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "pyQT3dA1m9Rp",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 104
+        },
+        "outputId": "7f7381c1-a5ee-4e08-c72e-9549892569fb"
+      },
+      "source": [
+        "model = Net()\n",
+        "model"
+      ],
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Net(\n",
+              "  (i): Linear(in_features=64, out_features=32, bias=True)\n",
+              "  (h): Linear(in_features=32, out_features=16, bias=True)\n",
+              "  (o): Linear(in_features=16, out_features=10, bias=True)\n",
+              ")"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 6
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "XkvBVPvMnG_I",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}