Minor changes

Notebooks/CustomCNNs/CustomCNN725Project.ipynb

@@ -14,6 +14,16 @@
     "accelerator": "GPU"
   },
   "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ZzS6OM-yfixt"
+      },
+      "source": [
+        "**Indian Dance Form Recognition using custom CNNs**<br>\n",
+        "This is a classification problem with 8 classes. In this task, we will be doing 7-fold cross validation on a training set of 364 images. This will be done using varied CNN networks. We will analyse the average accuracies from the cross-validation."
+      ]
+    },
     {
       "cell_type": "code",
       "metadata": {
@@ -46,16 +56,13 @@
       ]
     },
     {
-      "cell_type": "code",
+      "cell_type": "markdown",
       "metadata": {
-        "id": "hhb1KDmXALaF"
+        "id": "pExcuhZqhHmq"
       },
       "source": [
-        "!mkdir helpers\n",
-        "!touch helpers/__init__.py"
-      ],
-      "execution_count": null,
-      "outputs": []
+        "You need to import the 'helpers' folder, it contains code for cross-validation, etc."
+      ]
     },
     {
       "cell_type": "code",
@@ -83,37 +90,6 @@
       "execution_count": null,
       "outputs": []
     },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "mKkJU_yHSim-",
-        "outputId": "761133a1-4389-4e39-beaf-af864b8ff6d7"
-      },
-      "source": [
-        "import importlib\n",
-        "importlib.reload(helper)\n",
-        "importlib.reload(base_model)\n",
-        "importlib.reload(CV)"
-      ],
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "<module 'helpers.cross_validation' from '/content/helpers/cross_validation.py'>"
-            ]
-          },
-          "metadata": {
-            "tags": []
-          },
-          "execution_count": 2
-        }
-      ]
-    },
     {
       "cell_type": "code",
       "metadata": {
@@ -197,7 +173,7 @@
         "outputId": "485bce42-02c3-4d07-e2bd-538521c85c21"
       },
       "source": [
-        "###############Data Distributions##############\n",
+        "############### Data Distributions for the 7 folds ##############\n",
         "distribution_dict = {}\n",
         "ctr = 0\n",
         "for i in image_labels:\n",
@@ -794,6 +770,15 @@
         }
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "mwlSHc5Wh4Qy"
+      },
+      "source": [
+        "As we can see, Model1, on average tends to perform relatively better."
+      ]
+    },
     {
       "cell_type": "code",
       "metadata": {