Adding a Colab Link

Author: manthanthakker

Pytorch_CustomNN.ipynb

@@ -4,14 +4,26 @@
   "metadata": {
     "colab": {
       "name": "Pytorch-CustomNN.ipynb",
-      "provenance": []
+      "provenance": [],
+      "authorship_tag": "ABX9TyPBW4PQr9fHB137OwCNyfyG",
+      "include_colab_link": true
     },
     "kernelspec": {
       "name": "python3",
       "display_name": "Python 3"
     }
   },
   "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/manthanthakker/DeepNeuralNetworks/blob/master/Pytorch_CustomNN.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -85,11 +97,11 @@
       "metadata": {
         "id": "ZiE_QO0Yl1OT",
         "colab_type": "code",
+        "outputId": "749b54fa-4f0d-4471-b987-c65e6f7150da",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 1000
-        },
-        "outputId": "749b54fa-4f0d-4471-b987-c65e6f7150da"
+        }
       },
       "source": [
         "data = load_breast_cancer()\n",
@@ -102,7 +114,7 @@
         "\n",
         "print(data.DESCR)"
       ],
-      "execution_count": 264,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",
@@ -290,11 +302,11 @@
       "metadata": {
         "id": "IQhRWI7Xo6Ey",
         "colab_type": "code",
+        "outputId": "7af48883-5fde-47a0-a946-8115651eecc9",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 119
-        },
-        "outputId": "7af48883-5fde-47a0-a946-8115651eecc9"
+        }
       },
       "source": [
         "print(model.parameters())\n",
@@ -313,7 +325,7 @@
         "# FC 2 Bias Parameters\n",
         "print(list(model.parameters())[3].size())"
       ],
-      "execution_count": 266,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",
@@ -366,11 +378,11 @@
       "metadata": {
         "id": "-Oqroxt4o-fi",
         "colab_type": "code",
+        "outputId": "22fa6e3d-dcc1-4546-b7ef-3b354fe13b0e",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 952
-        },
-        "outputId": "22fa6e3d-dcc1-4546-b7ef-3b354fe13b0e"
+        }
       },
       "source": [
         "input_dim = 30\n",
@@ -419,7 +431,7 @@
         "              # Print Loss\n",
         "            print('Iteration: {}. Loss: {}'.format(iter, loss.item()))"
       ],
-      "execution_count": 269,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",
@@ -499,11 +511,11 @@
       "metadata": {
         "id": "7Fh2KKOxh2uO",
         "colab_type": "code",
+        "outputId": "5c7eb9ac-1b39-4025-e7d8-9859df873940",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "5c7eb9ac-1b39-4025-e7d8-9859df873940"
+        }
       },
       "source": [
         "with torch.no_grad():\n",
@@ -532,7 +544,7 @@
         "          accuracy = 100 * correct / total\n",
         "          print('Iteration: {}. Loss: {}. Accuracy: {}'.format(iter, loss.item(), accuracy))"
       ],
-      "execution_count": 270,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",