Train Xception model

Disease Detection - IT19956718/disease-classifier.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -101,32 +101,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Found 4015 images belonging to 5 classes.\n",
-      "Found 1001 images belonging to 5 classes.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'Caterpillars': 0,\n",
-       " 'DryingofLeaflets': 1,\n",
-       " 'Flaccidity': 2,\n",
-       " 'Leaflets': 3,\n",
-       " 'Yellowing leaf': 4}"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "train_generator, validation_generator = image_data_generator()\n",
     "train_generator.class_indices"
@@ -134,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -192,7 +169,7 @@
     "                    \n",
     "        self.model = model\n",
     "        # self.model.summary()\n",
-    "\n",
+    "    #Train xception model\n",
     "    def train(self):\n",
     "        callback = tf.keras.callbacks.EarlyStopping(\n",
     "                                                monitor='val_loss', \n",
@@ -252,7 +229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -262,7 +239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -301,7 +278,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -363,7 +340,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4 (tags/v3.10.4:9d38120, Mar 23 2022, 23:13:41) [MSC v.1929 64 bit (AMD64)]"
+   "version": "3.10.4"
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   "orig_nbformat": 4,
   "vscode": {