Merge pull request #56 from Jaseemck/task2jc

Added task2-NeuralNetwork

Author: gksoriginals

Tasks/daily tasks/Jaseem ck/Task_2.ipynb

@@ -0,0 +1,90 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "tinkerhubpytorch.ipynb",
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "p_XfBfF72I13",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "import torch.nn as nn\n",
+        "import torch.nn.functional as F\n",
+        "class Net(nn.Module):\n",
+        "    def __init__(self,):\n",
+        "        super(Net, self).__init__()\n",
+        "        self.fc1 = nn.Linear(256,64)\n",
+        "        self.fc2 = nn.Linear(64,32)\n",
+        "        self.fc3 = nn.Linear(32, 10)\n",
+        "    def forward(self, x):\n",
+        "        x = self.fc1(x)\n",
+        "        x = F.Sigmoid(x)\n",
+        "        x = self.fc2(x)\n",
+        "        x = F.Sigmoid(x)\n",
+        "        x = self.fc3(x)\n",
+        "        return x\n"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "oqld3eV4veTJ",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "model = Net()"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "pjLG2lp2vgmS",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 104
+        },
+        "outputId": "52d81444-c0a7-4e70-fc62-517e035fccb2"
+      },
+      "source": [
+        "model"
+      ],
+      "execution_count": 42,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Net(\n",
+              "  (fc1): Linear(in_features=256, out_features=64, bias=True)\n",
+              "  (fc2): Linear(in_features=64, out_features=32, bias=True)\n",
+              "  (fc3): Linear(in_features=32, out_features=10, bias=True)\n",
+              ")"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 42
+        }
+      ]
+    }
+  ]
+}