Train_plant_disease.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "282adf0a-71d4-44dc-8c01-8cead88e0fc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0493ff32-0d68-4e26-883c-5efa36dcb915",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 70295 files belonging to 38 classes.\n"
     ]
    }
   ],
   "source": [
    "training_set = tf.keras.utils.image_dataset_from_directory(\n",
    "    'train',\n",
    "    labels=\"inferred\",\n",
    "    label_mode=\"categorical\",\n",
    "    class_names=None,\n",
    "    color_mode=\"rgb\",\n",
    "    batch_size=32,\n",
    "    image_size=(128, 128),\n",
    "    shuffle=True,\n",
    "    seed=None,\n",
    "    validation_split=None,\n",
    "    subset=None,\n",
    "    interpolation=\"bilinear\",\n",
    "    follow_links=False,\n",
    "    crop_to_aspect_ratio=False\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d0bbf80-9916-4baa-8553-7329b46eeaa6",
   "metadata": {},
   "source": [
    "## Validation Image Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "616f954f-47dc-4907-bc4d-20a3a8ebc787",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 17572 files belonging to 38 classes.\n"
     ]
    }
   ],
   "source": [
    "validation_set = tf.keras.utils.image_dataset_from_directory(\n",
    "    'valid',\n",
    "    labels=\"inferred\",\n",
    "    label_mode=\"categorical\",\n",
    "    class_names=None,\n",
    "    color_mode=\"rgb\",\n",
    "    batch_size=32,\n",
    "    image_size=(128, 128),\n",
    "    shuffle=True,\n",
    "    seed=None,\n",
    "    validation_split=None,\n",
    "    subset=None,\n",
    "    interpolation=\"bilinear\",\n",
    "    follow_links=False,\n",
    "    crop_to_aspect_ratio=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a88f020a-1356-416c-b3b7-c638c3103461",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<_PrefetchDataset element_spec=(TensorSpec(shape=(None, 128, 128, 3), dtype=tf.float32, name=None), TensorSpec(shape=(None, 38), dtype=tf.float32, name=None))>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "training_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d711d9c1-a78d-4a23-9987-73f19266dd42",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tf.Tensor(\n",
      "[[[[156.5  143.5  153.5 ]\n",
      "   [153.75 140.75 150.75]\n",
      "   [156.   143.   153.  ]\n",
      "   ...\n",
      "   [ 32.25  32.25  42.25]\n",
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      "   [ 31.75  34.75  43.75]]\n",
      "\n",
      "  [[162.25 149.25 159.25]\n",
      "   [158.   145.   155.  ]\n",
      "   [161.25 148.25 158.25]\n",
      "   ...\n",
      "   [ 35.75  35.75  45.75]\n",
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      "   [ 32.5   35.5   44.5 ]]\n",
      "\n",
      "  [[157.   144.   154.  ]\n",
      "   [155.75 142.75 152.75]\n",
      "   [158.25 145.25 155.25]\n",
      "   ...\n",
      "   [ 33.75  33.75  43.75]\n",
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      "   [ 30.75  33.75  42.75]]\n",
      "\n",
      "  ...\n",
      "\n",
      "  [[179.25 164.25 169.25]\n",
      "   [181.75 166.75 171.75]\n",
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      "   [153.25 138.25 143.25]\n",
      "   [148.5  133.5  138.5 ]\n",
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      "\n",
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      "   ...\n",
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      "\n",
      "  [[181.5  166.5  171.5 ]\n",
      "   [185.75 170.75 175.75]\n",
      "   [188.   173.   178.  ]\n",
      "   ...\n",
      "   [169.5  154.5  159.5 ]\n",
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      "   [165.   150.   155.  ]]]\n",
      "\n",
      "\n",
      " [[[162.   158.   183.  ]\n",
      "   [161.25 157.25 182.25]\n",
      "   [157.5  153.5  178.5 ]\n",
      "   ...\n",
      "   [105.5  100.5  122.5 ]\n",
      "   [118.25 113.25 135.25]\n",
      "   [112.   107.   129.  ]]\n",
      "\n",
      "  [[151.   147.   172.  ]\n",
      "   [148.5  144.5  169.5 ]\n",
      "   [147.25 143.25 168.25]\n",
      "   ...\n",
      "   [111.25 106.25 128.25]\n",
      "   [108.5  103.5  125.5 ]\n",
      "   [105.75 100.75 122.75]]\n",
      "\n",
      "  [[150.25 146.25 171.25]\n",
      "   [156.   152.   177.  ]\n",
      "   [159.5  155.5  180.5 ]\n",
      "   ...\n",
      "   [114.75 109.75 131.75]\n",
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      "   [112.75 107.75 129.75]]\n",
      "\n",
      "  ...\n",
      "\n",
      "  [[194.   190.   204.  ]\n",
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      "   ...\n",
      "   [129.75 119.75 130.75]\n",
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      "   [136.75 126.75 137.75]]\n",
      "\n",
      "  [[194.75 190.75 204.75]\n",
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      "   ...\n",
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      "   [137.25 127.25 138.25]]\n",
      "\n",
      "  [[180.5  176.5  190.5 ]\n",
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      "   ...\n",
      "   [147.75 137.75 148.75]\n",
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      "   [127.75 117.75 128.75]]]\n",
      "\n",
      "\n",
      " [[[138.5  129.5  132.5 ]\n",
      "   [113.75 104.75 107.75]\n",
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      "   ...\n",
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      "   [127.25 117.25 116.25]]\n",
      "\n",
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      "   [111.75 102.75 105.75]\n",
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      "   ...\n",
      "   [131.5  121.5  120.5 ]\n",
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      "\n",
      "  [[108.75  99.75 102.75]\n",
      "   [103.25  94.25  97.25]\n",
      "   [110.   101.   104.  ]\n",
      "   ...\n",
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      "\n",
      "  ...\n",
      "\n",
      "  [[164.75 159.75 165.75]\n",
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      "   ...\n",
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      "\n",
      "  [[159.75 154.75 160.75]\n",
      "   [167.25 162.25 168.25]\n",
      "   [167.5  162.5  168.5 ]\n",
      "   ...\n",
      "   [204.25 200.25 201.25]\n",
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      "\n",
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      "   [166.5  161.5  167.5 ]\n",
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      "   ...\n",
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      "\n",
      "\n",
      " ...\n",
      "\n",
      "\n",
      " [[[141.25 128.25 138.25]\n",
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      "\n",
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      "   [149.75 136.75 146.75]\n",
      "   [141.25 128.25 138.25]\n",
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      "\n",
      "  [[151.25 138.25 148.25]\n",
      "   [155.5  142.5  152.5 ]\n",
      "   [151.25 138.25 148.25]\n",
      "   ...\n",
      "   [ 99.25  87.25  97.25]\n",
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      "\n",
      "  ...\n",
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      "\n",
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      "\n",
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      "   [180.   165.   172.  ]\n",
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      "\n",
      "\n",
      " [[[177.25 175.25 180.25]\n",
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      "   ...\n",
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      "\n",
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      "   ...\n",
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      "\n",
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      "\n",
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      "   ...\n",
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      "   [126.25 117.25 120.25]]\n",
      "\n",
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      "   [155.75 149.75 153.75]\n",
      "   ...\n",
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      "   [118.75 109.75 112.75]]\n",
      "\n",
      "  [[159.75 153.75 157.75]\n",
      "   [144.75 138.75 142.75]\n",
      "   [151.5  145.5  149.5 ]\n",
      "   ...\n",
      "   [130.   121.   124.  ]\n",
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      "   [123.75 114.75 117.75]]]\n",
      "\n",
      "\n",
      " [[[ 58.5  112.5   51.5 ]\n",
      "   [ 55.5  109.    53.  ]\n",
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      "   ...\n",
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      "\n",
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      "   [ 56.75 110.25  54.25]\n",
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      "   ...\n",
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      "   [ 92.75 140.25 103.25]\n",
      "   [ 85.   132.    98.  ]]\n",
      "\n",
      "  [[ 61.   115.    54.  ]\n",
      "   [ 58.25 111.75  55.75]\n",
      "   [ 54.25 106.75  56.5 ]\n",
      "   ...\n",
      "   [ 96.   143.75 102.25]\n",
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      "   [ 91.5  138.25 103.25]]\n",
      "\n",
      "  ...\n",
      "\n",
      "  [[153.5  189.5  127.5 ]\n",
      "   [158.25 194.25 133.25]\n",
      "   [155.   191.   130.  ]\n",
      "   ...\n",
      "   [ 28.5   57.    25.5 ]\n",
      "   [ 28.    57.    26.  ]\n",
      "   [ 27.25  57.75  26.  ]]\n",
      "\n",
      "  [[183.75 219.75 157.75]\n",
      "   [169.75 205.75 144.75]\n",
      "   [153.   189.   128.  ]\n",
      "   ...\n",
      "   [ 30.    57.    22.5 ]\n",
      "   [ 30.    57.    24.  ]\n",
      "   [ 29.5   57.    26.  ]]\n",
      "\n",
      "  [[163.   199.   137.  ]\n",
      "   [152.   188.   127.  ]\n",
      "   [154.75 190.75 129.75]\n",
      "   ...\n",
      "   [ 31.    57.    20.  ]\n",
      "   [ 31.    57.    22.  ]\n",
      "   [ 31.    56.    24.  ]]]], shape=(32, 128, 128, 3), dtype=float32) (32, 128, 128, 3)\n",
      "tf.Tensor(\n",
      "[[0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " ...\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]], shape=(32, 38), dtype=float32) (32, 38)\n"
     ]
    }
   ],
   "source": [
    "#here x is training set and y is the label\n",
    "for x,y in training_set:\n",
    "    print(x,x.shape)\n",
    "    print(y,y.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d816186-bc9e-4c15-9afb-9cc2d8733c38",
   "metadata": {},
   "source": [
    "# To avoid Overshooting Loss function\n",
    "1.Choose a small learning rate default 0.001 here we have taken 0.0001\n",
    "2. There may be a chance of underfitting so increase the number of neurons\n",
    "3. Add more Convolutional Layers to extract more features from images there may be a possibility that the model is unable to capture relevant features or model is confusing due to lack of feature so feed with more feature"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7917bc03-7c8e-4342-af94-caa6b54031e5",
   "metadata": {},
   "source": [
    "## Building Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "81808c55-ba8c-45e5-8523-6a6090e39281",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.layers import Dense, Conv2D,MaxPool2D,Flatten,Dropout\n",
    "from tensorflow.keras.models import Sequential\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "81bd5097-5006-4533-8b6f-cdd379e07a17",
   "metadata": {},
   "outputs": [],
   "source": [
    "model= Sequential()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9b0f742-8ab4-4d27-ac8f-9208ac6cc7af",
   "metadata": {},
   "source": [
    "## Building cnn layer\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1b1bedae-4efe-419c-9010-9e44f14a788d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add Conv2D layers\n",
    "model.add(Conv2D(filters=32, kernel_size=3, padding='same', activation='relu', input_shape=[128, 128, 3]))\n",
    "model.add(Conv2D(filters=32, kernel_size=3,activation='relu'))\n",
    "\n",
    "# Add MaxPool2D layer\n",
    "model.add(MaxPool2D(pool_size=2, strides=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "8f2902be-e0f0-4cb8-a0ab-daeb6fe70a2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add Conv2D layers\n",
    "model.add(Conv2D(filters=64, kernel_size=3, padding='same', activation='relu'))\n",
    "model.add(Conv2D(filters=64, kernel_size=3,activation='relu'))\n",
    "\n",
    "# Add MaxPool2D layer\n",
    "model.add(MaxPool2D(pool_size=2, strides=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "c798727c-0114-4813-88c6-3b752a96c387",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add Conv2D layers\n",
    "model.add(Conv2D(filters=128, kernel_size=3, padding='same', activation='relu'))\n",
    "model.add(Conv2D(filters=128, kernel_size=3,activation='relu'))\n",
    "\n",
    "# Add MaxPool2D layer\n",
    "model.add(MaxPool2D(pool_size=2, strides=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "69aee1b8-8aa5-49a4-bdcc-33e66f3aaa4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add Conv2D layers\n",
    "model.add(Conv2D(filters=256, kernel_size=3, padding='same', activation='relu'))\n",
    "model.add(Conv2D(filters=256, kernel_size=3,activation='relu'))\n",
    "\n",
    "# Add MaxPool2D layer\n",
    "model.add(MaxPool2D(pool_size=2, strides=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "14f83b5a-793d-4bf1-a6e5-bd0b1ed8ba4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add Conv2D layers\n",
    "model.add(Conv2D(filters=512, kernel_size=3, padding='same', activation='relu', input_shape=[128, 128, 3]))\n",
    "model.add(Conv2D(filters=512, kernel_size=3,activation='relu'))\n",
    "\n",
    "# Add MaxPool2D layer\n",
    "model.add(MaxPool2D(pool_size=2, strides=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "837f92d2-9d2b-4065-84da-6d115d91cf74",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.add(Dropout(0.25))#to avoid overfitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "f2134807-01b4-4929-8e4e-bbb01f91f741",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.add(Flatten())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d4cc40cf-1ae1-4c41-b14a-f8e7c0467d20",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.add(Dense(units=1500,activation='relu'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "ea99987f-157d-4b37-bdf4-825d1b0f998d",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.add(Dropout(0.4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "0c91f2b5-5051-4461-8075-d8d3c33488bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#outputlayer\n",
    "model.add(Dense(units=38,activation='softmax'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75911778-fef0-4091-b01f-bc746deea6da",
   "metadata": {},
   "source": [
    "## Compailing Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "4a6f6b48-5e82-4f2d-a94e-a132bc1560bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer=tf.keras.optimizers.Adam(\n",
    "    learning_rate=0.0001),loss='categorical_crossentropy',metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "f94053ba-0ee6-4570-bc6d-fe48d8720366",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_2\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential_2\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ conv2d_16 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)   │           <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_17 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">126</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">126</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)   │         <span style=\"color: #00af00; text-decoration-color: #00af00\">9,248</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">63</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">63</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_18 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">63</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">63</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │        <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_19 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">61</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">61</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │        <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_20 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_21 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_7 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_22 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_23 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_24 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_25 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ flatten_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2048</span>)           │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1500</span>)           │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,073,500</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1500</span>)           │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">38</span>)             │        <span style=\"color: #00af00; text-decoration-color: #00af00\">57,038</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ conv2d_16 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m32\u001b[0m)   │           \u001b[38;5;34m896\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_17 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m126\u001b[0m, \u001b[38;5;34m126\u001b[0m, \u001b[38;5;34m32\u001b[0m)   │         \u001b[38;5;34m9,248\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_5 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m63\u001b[0m, \u001b[38;5;34m63\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_18 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m63\u001b[0m, \u001b[38;5;34m63\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │        \u001b[38;5;34m18,496\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_19 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m61\u001b[0m, \u001b[38;5;34m61\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │        \u001b[38;5;34m36,928\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_6 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_20 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │        \u001b[38;5;34m73,856\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_21 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │       \u001b[38;5;34m147,584\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_7 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_22 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m295,168\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_23 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m590,080\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_8 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m256\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_24 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │     \u001b[38;5;34m1,180,160\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_25 (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │     \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_9 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ flatten_1 (\u001b[38;5;33mFlatten\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m)           │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1500\u001b[0m)           │     \u001b[38;5;34m3,073,500\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1500\u001b[0m)           │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m38\u001b[0m)             │        \u001b[38;5;34m57,038\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">7,842,762</span> (29.92 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m7,842,762\u001b[0m (29.92 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">7,842,762</span> (29.92 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m7,842,762\u001b[0m (29.92 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "246cae78-c541-4daf-84e9-36af892f2c26",
   "metadata": {},
   "source": [
    "# Model Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "e74a768f-fc7a-4422-88b6-4916f4ef7b1d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1784s\u001b[0m 811ms/step - accuracy: 0.3763 - loss: 2.2303 - val_accuracy: 0.8383 - val_loss: 0.5149\n",
      "Epoch 2/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1619s\u001b[0m 737ms/step - accuracy: 0.8388 - loss: 0.5156 - val_accuracy: 0.8764 - val_loss: 0.3836\n",
      "Epoch 3/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2159s\u001b[0m 983ms/step - accuracy: 0.9062 - loss: 0.2884 - val_accuracy: 0.9322 - val_loss: 0.2046\n",
      "Epoch 4/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1737s\u001b[0m 790ms/step - accuracy: 0.9343 - loss: 0.1982 - val_accuracy: 0.9462 - val_loss: 0.1701\n",
      "Epoch 5/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1677s\u001b[0m 763ms/step - accuracy: 0.9512 - loss: 0.1444 - val_accuracy: 0.9483 - val_loss: 0.1694\n",
      "Epoch 6/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2026s\u001b[0m 922ms/step - accuracy: 0.9612 - loss: 0.1133 - val_accuracy: 0.9611 - val_loss: 0.1218\n",
      "Epoch 7/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1650s\u001b[0m 751ms/step - accuracy: 0.9701 - loss: 0.0939 - val_accuracy: 0.9654 - val_loss: 0.1127\n",
      "Epoch 8/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1569s\u001b[0m 714ms/step - accuracy: 0.9751 - loss: 0.0778 - val_accuracy: 0.9571 - val_loss: 0.1401\n",
      "Epoch 9/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1562s\u001b[0m 711ms/step - accuracy: 0.9799 - loss: 0.0633 - val_accuracy: 0.9662 - val_loss: 0.1079\n",
      "Epoch 10/10\n",
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2092s\u001b[0m 952ms/step - accuracy: 0.9823 - loss: 0.0541 - val_accuracy: 0.9655 - val_loss: 0.1122\n"
     ]
    }
   ],
   "source": [
    "training_history=model.fit(x=training_set,validation_data=validation_set,)epochs=10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a89f7dc-e481-4245-9682-19b51e929f41",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f20004c-5cb2-4ce8-93dd-2965618595aa",
   "metadata": {},
   "source": [
    "## Model Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "fa7b2d39-609a-47f1-9d42-c043fac4dedf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m2197/2197\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m507s\u001b[0m 231ms/step - accuracy: 0.9903 - loss: 0.0317\n"
     ]
    }
   ],
   "source": [
    "#Model Evaluation on the Training set\n",
    "train_loss,train_acc=model.evaluate(training_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "7baba5fa-4768-455d-911f-d2543c895cdf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.02877684123814106 0.9910235404968262\n"
     ]
    }
   ],
   "source": [
    "print(train_loss,train_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "974cebfe-f759-4a21-a36c-50252dffe413",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m550/550\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m126s\u001b[0m 229ms/step - accuracy: 0.9648 - loss: 0.1151\n"
     ]
    }
   ],
   "source": [
    "#model on validation set\n",
    "val_loss,val_acc=model.evaluate(validation_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "da3e698b-9325-4c3d-a606-a246628b336b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.11230122298002243 0.9654564261436462\n"
     ]
    }
   ],
   "source": [
    "print(val_loss,val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3091ead0-0e90-4f07-a658-989710702f42",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9f3ad707-534e-444e-b922-9db8f4d21932",
   "metadata": {},
   "source": [
    "### Saving the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "a2796df8-9680-4d65-96c6-19172c1c5cd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save(\"trained_model.keras\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "f8dedef3-ddd2-41c0-9992-8ee68ab99f19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'accuracy': [0.5814353823661804,\n",
       "  0.859221875667572,\n",
       "  0.9142186641693115,\n",
       "  0.9386727213859558,\n",
       "  0.9543779492378235,\n",
       "  0.9643644690513611,\n",
       "  0.9715058207511902,\n",
       "  0.9750480055809021,\n",
       "  0.9791450500488281,\n",
       "  0.9820613265037537],\n",
       " 'loss': [1.4290525913238525,\n",
       "  0.4467775523662567,\n",
       "  0.26390981674194336,\n",
       "  0.185645192861557,\n",
       "  0.13631099462509155,\n",
       "  0.10587283223867416,\n",
       "  0.08929206430912018,\n",
       "  0.07718028873205185,\n",
       "  0.06278533488512039,\n",
       "  0.056492388248443604],\n",
       " 'val_accuracy': [0.8383223414421082,\n",
       "  0.8763942718505859,\n",
       "  0.9322217106819153,\n",
       "  0.9461643695831299,\n",
       "  0.9482699632644653,\n",
       "  0.9611313343048096,\n",
       "  0.9653995037078857,\n",
       "  0.9571477174758911,\n",
       "  0.9661962389945984,\n",
       "  0.9654564261436462],\n",
       " 'val_loss': [0.5149209499359131,\n",
       "  0.38362714648246765,\n",
       "  0.2045743316411972,\n",
       "  0.1700768619775772,\n",
       "  0.16936814785003662,\n",
       "  0.12175314873456955,\n",
       "  0.11269131302833557,\n",
       "  0.14014238119125366,\n",
       "  0.1079273521900177,\n",
       "  0.11217556148767471]}"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "training_history.history"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "fb90774b-776b-4e98-86c3-9a688b41f318",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Recording model History in json\n",
    "import json\n",
    "with open(\"training_hist.json\",\"w\") as f:\n",
    "    json.dump(training_history.history,f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e00f9b51-a656-4819-910d-bbdd29226e6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "167fb708-ddec-44dc-bf07-fbd546e59846",
   "metadata": {},
   "source": [
    "## Accuracy Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "a5fd7df8-9448-4e65-8f52-da7625277e1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "epochs=[i for i in range(1,11)]\n",
    "plt.plot(epochs,training_history.history['accuracy'],color='red',label='Training Accuracy')\n",
    "plt.plot(epochs,training_history.history['val_accuracy'],color='blue',label='Validation Accuracy')\n",
    "plt.xlabel(\"No. of Epochs\")\n",
    "plt.ylabel(\"Accuracy Result\")\n",
    "plt.title(\"Visualization of Accuracy Result\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "454b8b21-9df4-4bbe-9380-fe6ffb767a40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Training and validation loss values\n",
    "history = {\n",
    "    'loss': [\n",
    "        1.4290525913238525,\n",
    "        0.4467775523662567,\n",
    "        0.26390981674194336,\n",
    "        0.185645192861557,\n",
    "        0.13631099462509155,\n",
    "        0.10587283223867416,\n",
    "        0.08929206430912018,\n",
    "        0.07718028873205185,\n",
    "        0.06278533488512039,\n",
    "        0.056492388248443604\n",
    "    ],\n",
    "    'val_loss': [\n",
    "        0.5149209499359131,\n",
    "        0.38362714648246765,\n",
    "        0.2045743316411972,\n",
    "        0.1700768619775772,\n",
    "        0.16936814785003662,\n",
    "        0.12175314873456955,\n",
    "        0.11269131302833557,\n",
    "        0.14014238119125366,\n",
    "        0.1079273521900177,\n",
    "        0.11217556148767471\n",
    "    ]\n",
    "}\n",
    "\n",
    "# Plotting the model loss\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(history['loss'], label='Training Loss')\n",
    "plt.plot(history['val_loss'], label='Validation Loss')\n",
    "plt.title('Model Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.xticks(ticks=range(10), labels=[f'Epoch {i+1}' for i in range(10)]) \n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20a02010-6551-4682-8e03-59c35629c359",
   "metadata": {},
   "source": [
    "## Some other metrics for model evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "3caee16b-ef9e-4ee3-b1db-2c496ac5dca2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Apple___Apple_scab',\n",
       " 'Apple___Black_rot',\n",
       " 'Apple___Cedar_apple_rust',\n",
       " 'Apple___healthy',\n",
       " 'Blueberry___healthy',\n",
       " 'Cherry_(including_sour)___Powdery_mildew',\n",
       " 'Cherry_(including_sour)___healthy',\n",
       " 'Corn_(maize)___Cercospora_leaf_spot Gray_leaf_spot',\n",
       " 'Corn_(maize)___Common_rust_',\n",
       " 'Corn_(maize)___Northern_Leaf_Blight',\n",
       " 'Corn_(maize)___healthy',\n",
       " 'Grape___Black_rot',\n",
       " 'Grape___Esca_(Black_Measles)',\n",
       " 'Grape___Leaf_blight_(Isariopsis_Leaf_Spot)',\n",
       " 'Grape___healthy',\n",
       " 'Orange___Haunglongbing_(Citrus_greening)',\n",
       " 'Peach___Bacterial_spot',\n",
       " 'Peach___healthy',\n",
       " 'Pepper,_bell___Bacterial_spot',\n",
       " 'Pepper,_bell___healthy',\n",
       " 'Potato___Early_blight',\n",
       " 'Potato___Late_blight',\n",
       " 'Potato___healthy',\n",
       " 'Raspberry___healthy',\n",
       " 'Soybean___healthy',\n",
       " 'Squash___Powdery_mildew',\n",
       " 'Strawberry___Leaf_scorch',\n",
       " 'Strawberry___healthy',\n",
       " 'Tomato___Bacterial_spot',\n",
       " 'Tomato___Early_blight',\n",
       " 'Tomato___Late_blight',\n",
       " 'Tomato___Leaf_Mold',\n",
       " 'Tomato___Septoria_leaf_spot',\n",
       " 'Tomato___Spider_mites Two-spotted_spider_mite',\n",
       " 'Tomato___Target_Spot',\n",
       " 'Tomato___Tomato_Yellow_Leaf_Curl_Virus',\n",
       " 'Tomato___Tomato_mosaic_virus',\n",
       " 'Tomato___healthy']"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class_name=validation_set.class_names\n",
    "class_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cbc13eef-1e53-4811-889a-1d0889c25fb0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "2eea7547-52b8-4d7c-89d8-04133b2d490b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 17572 files belonging to 38 classes.\n"
     ]
    }
   ],
   "source": [
    "test_set=tf.keras.utils.image_dataset_from_directory(\n",
    "    'valid',\n",
    "    labels=\"inferred\",\n",
    "    label_mode=\"categorical\",\n",
    "    class_names=None,\n",
    "    color_mode=\"rgb\",\n",
    "    batch_size=32,\n",
    "    image_size=(128, 128),\n",
    "    shuffle=False,\n",
    "    seed=None,\n",
    "    validation_split=None,\n",
    "    subset=None,\n",
    "    interpolation=\"bilinear\",\n",
    "    follow_links=False,\n",
    "    crop_to_aspect_ratio=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "781e16bf-eb8d-479d-a225-1526891ae30c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m550/550\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m133s\u001b[0m 241ms/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([[9.99999762e-01, 1.56728788e-07, 2.94226088e-10, ...,\n",
       "         3.13562851e-15, 6.67955884e-14, 2.56405059e-13],\n",
       "        [9.93969321e-01, 6.03013113e-03, 2.08220214e-08, ...,\n",
       "         4.58662793e-15, 4.37861726e-12, 7.68784667e-13],\n",
       "        [1.00000000e+00, 6.05163253e-10, 1.20462095e-11, ...,\n",
       "         1.45361338e-18, 8.29684071e-16, 3.35540117e-15],\n",
       "        ...,\n",
       "        [9.21328916e-11, 8.00733449e-14, 1.13353620e-08, ...,\n",
       "         4.87193549e-11, 1.24514097e-11, 9.99977946e-01],\n",
       "        [5.41309636e-11, 1.03207244e-13, 7.38363148e-10, ...,\n",
       "         7.75184777e-11, 5.77129317e-12, 9.99999285e-01],\n",
       "        [6.30185805e-20, 3.79900644e-23, 8.27602888e-19, ...,\n",
       "         6.61800712e-21, 6.36425913e-20, 1.00000000e+00]], dtype=float32),\n",
       " (17572, 38))"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred=model.predict(test_set)\n",
    "y_pred,y_pred.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "fd57c587-0607-4692-9a2b-b886bb90cefa",
   "metadata": {},
   "outputs": [],
   "source": [
    "predicted_categories=tf.argmax(y_pred,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "ce660641-190c-476a-8101-eee30e98b9d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(17572,), dtype=int64, numpy=array([ 0,  0,  0, ..., 37, 37, 37], dtype=int64)>"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicted_categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "84fbcb22-b4cc-48e1-9023-c67f59d6d653",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(17572, 38), dtype=float32, numpy=\n",
       "array([[1., 0., 0., ..., 0., 0., 0.],\n",
       "       [1., 0., 0., ..., 0., 0., 0.],\n",
       "       [1., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 1.],\n",
       "       [0., 0., 0., ..., 0., 0., 1.],\n",
       "       [0., 0., 0., ..., 0., 0., 1.]], dtype=float32)>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "true_categories= tf.concat( [y for x,y in test_set],axis=0)\n",
    "true_categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "7e5de699-641f-4e8c-be90-3a762404bc80",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(17572,), dtype=int64, numpy=array([ 0,  0,  0, ..., 37, 37, 37], dtype=int64)>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_true=tf.argmax(true_categories,axis=1)\n",
    "Y_true"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69599f4d-6157-4867-b8e0-6d83ae0edf4c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "68332417-29d5-40c6-a359-a2173a9e0253",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report,confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "70124a13-df72-45c2-b5ea-c2950a448996",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                    precision    recall  f1-score   support\n",
      "\n",
      "                                Apple___Apple_scab       0.95      0.98      0.96       504\n",
      "                                 Apple___Black_rot       0.99      1.00      0.99       497\n",
      "                          Apple___Cedar_apple_rust       0.98      0.88      0.93       440\n",
      "                                   Apple___healthy       0.96      0.96      0.96       502\n",
      "                               Blueberry___healthy       0.98      0.98      0.98       454\n",
      "          Cherry_(including_sour)___Powdery_mildew       1.00      0.96      0.98       421\n",
      "                 Cherry_(including_sour)___healthy       0.98      0.98      0.98       456\n",
      "Corn_(maize)___Cercospora_leaf_spot Gray_leaf_spot       0.96      0.92      0.94       410\n",
      "                       Corn_(maize)___Common_rust_       0.99      1.00      1.00       477\n",
      "               Corn_(maize)___Northern_Leaf_Blight       0.95      0.95      0.95       477\n",
      "                            Corn_(maize)___healthy       0.99      1.00      1.00       465\n",
      "                                 Grape___Black_rot       0.93      1.00      0.96       472\n",
      "                      Grape___Esca_(Black_Measles)       1.00      0.95      0.97       480\n",
      "        Grape___Leaf_blight_(Isariopsis_Leaf_Spot)       0.97      0.99      0.98       430\n",
      "                                   Grape___healthy       1.00      1.00      1.00       423\n",
      "          Orange___Haunglongbing_(Citrus_greening)       1.00      0.99      0.99       503\n",
      "                            Peach___Bacterial_spot       0.93      0.98      0.96       459\n",
      "                                   Peach___healthy       0.98      1.00      0.99       432\n",
      "                     Pepper,_bell___Bacterial_spot       0.96      0.96      0.96       478\n",
      "                            Pepper,_bell___healthy       0.92      0.97      0.95       497\n",
      "                             Potato___Early_blight       0.95      0.98      0.96       485\n",
      "                              Potato___Late_blight       0.97      0.96      0.96       485\n",
      "                                  Potato___healthy       0.93      0.96      0.95       456\n",
      "                               Raspberry___healthy       0.98      1.00      0.99       445\n",
      "                                 Soybean___healthy       0.99      0.98      0.98       505\n",
      "                           Squash___Powdery_mildew       0.98      0.99      0.99       434\n",
      "                          Strawberry___Leaf_scorch       0.98      0.98      0.98       444\n",
      "                              Strawberry___healthy       0.99      0.99      0.99       456\n",
      "                           Tomato___Bacterial_spot       0.92      0.97      0.95       425\n",
      "                             Tomato___Early_blight       0.87      0.93      0.90       480\n",
      "                              Tomato___Late_blight       0.95      0.91      0.93       463\n",
      "                                Tomato___Leaf_Mold       0.99      0.94      0.96       470\n",
      "                       Tomato___Septoria_leaf_spot       0.99      0.83      0.90       436\n",
      "     Tomato___Spider_mites Two-spotted_spider_mite       0.96      0.96      0.96       435\n",
      "                              Tomato___Target_Spot       0.93      0.88      0.90       457\n",
      "            Tomato___Tomato_Yellow_Leaf_Curl_Virus       0.98      0.99      0.99       490\n",
      "                      Tomato___Tomato_mosaic_virus       0.98      0.99      0.99       448\n",
      "                                  Tomato___healthy       0.94      1.00      0.97       481\n",
      "\n",
      "                                          accuracy                           0.97     17572\n",
      "                                         macro avg       0.97      0.97      0.97     17572\n",
      "                                      weighted avg       0.97      0.97      0.97     17572\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(Y_true,predicted_categories,target_names=class_name))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "7183303e-a4b3-4d38-a2ef-a35cbfefcf7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(38, 38)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm= confusion_matrix(Y_true,predicted_categories)\n",
    "cm.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faa7c86d-989f-48a0-91e4-471bb8531e75",
   "metadata": {},
   "source": [
    "## Confusion Matrix Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "d7fb02f0-ba0c-4df5-a1c2-d161f73c0926",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 4000x4000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(40,40))\n",
    "sns.heatmap(cm,annot=True,annot_kws={'size':10})\n",
    "plt.xlabel(\"Predicted class\",fontsize=20)\n",
    "plt.ylabel(\"Actual class\",fontsize=20)\n",
    "plt.title(\"Plant Disease Prediction Confusion Matrix\",fontsize=25)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "97cd99da-cdd0-4d22-9286-39492b49173e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43d8a6cd-b972-4e54-ab0d-ef4d0a27686a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9efbdac0-1385-47d2-8fee-9a80e93f29fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 70300 files belonging to 38 classes.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "# Load the dataset\n",
    "training_set = tf.keras.utils.image_dataset_from_directory(\n",
    "    'train',\n",
    "    labels=\"inferred\",\n",
    "    label_mode=\"categorical\",\n",
    "    class_names=None,\n",
    "    color_mode=\"rgb\",\n",
    "    batch_size=32,\n",
    "    image_size=(128, 128),\n",
    "    shuffle=True,\n",
    "    seed=None,\n",
    "    validation_split=None,\n",
    "    subset=None,\n",
    "    interpolation=\"bilinear\",\n",
    "    follow_links=False,\n",
    "    crop_to_aspect_ratio=False\n",
    ")\n",
    "\n",
    "# Get the class names\n",
    "class_names = training_set.class_names\n",
    "\n",
    "# Initialize a dictionary to hold class counts\n",
    "class_counts = {class_name: 0 for class_name in class_names}\n",
    "\n",
    "# Count the number of images in each class\n",
    "for images, labels in training_set:\n",
    "    for label in labels:\n",
    "        class_index = label.numpy().argmax()\n",
    "        class_counts[class_names[class_index]] += 1\n",
    "\n",
    "# Convert the class counts to a pandas DataFrame\n",
    "df_class_counts = pd.DataFrame(list(class_counts.items()), columns=['Class', 'Count'])\n",
    "\n",
    "# Plot the pie chart\n",
    "plt.figure(figsize=(12, 8))\n",
    "plt.pie(df_class_counts['Count'], labels=df_class_counts['Class'], autopct='%1.1f%%', startangle=140)\n",
    "plt.title('Distribution of the Studies per Plant Leaf and/or Crop Species')\n",
    "plt.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d5e1ee0f-c1b8-4361-808c-e0d3b91d4df7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b6475a1b-40bf-477e-b90a-a60adfca6bbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "# Get the class names\n",
    "class_names = training_set.class_names\n",
    "\n",
    "# Define groups for multiple species\n",
    "grouped_classes = {\n",
    "    'Apple': ['Apple___Apple_scab', 'Apple___Black_rot', 'Apple___Cedar_apple_rust', 'Apple___healthy'],\n",
    "    'Blueberry': ['Blueberry___healthy'],\n",
    "    'Cherry': ['Cherry_(including_sour)___Powdery_mildew', 'Cherry_(including_sour)___healthy'],\n",
    "    'Corn (maize)': ['Corn_(maize)___Cercospora_leaf_spot Gray_leaf_spot', 'Corn_(maize)___Common_rust_', 'Corn_(maize)___Northern_Leaf_Blight', 'Corn_(maize)___healthy'],\n",
    "    'Grape': ['Grape___Black_rot', 'Grape___Esca_(Black_Measles)', 'Grape___Leaf_blight_(Isariopsis_Leaf_Spot)', 'Grape___healthy'],\n",
    "    'Orange': ['Orange___Haunglongbing_(Citrus_greening)'],\n",
    "    'Peach': ['Peach___Bacterial_spot', 'Peach___healthy'],\n",
    "    'Pepper (bell)': ['Pepper,_bell___Bacterial_spot', 'Pepper,_bell___healthy'],\n",
    "    'Potato': ['Potato___Early_blight', 'Potato___Late_blight', 'Potato___healthy'],\n",
    "    'Raspberry': ['Raspberry___healthy'],\n",
    "    'Soybean': ['Soybean___healthy'],\n",
    "    'Squash': ['Squash___Powdery_mildew'],\n",
    "    'Strawberry': ['Strawberry___Leaf_scorch', 'Strawberry___healthy'],\n",
    "    'Tomato': [\n",
    "        'Tomato___Bacterial_spot', 'Tomato___Early_blight', 'Tomato___Late_blight',\n",
    "        'Tomato___Leaf_Mold', 'Tomato___Septoria_leaf_spot', 'Tomato___Spider_mites Two-spotted_spider_mite',\n",
    "        'Tomato___Target_Spot', 'Tomato___Tomato_Yellow_Leaf_Curl_Virus', 'Tomato___Tomato_mosaic_virus', 'Tomato___healthy'\n",
    "    ]\n",
    "}\n",
    "\n",
    "# Initialize a dictionary to hold grouped class counts\n",
    "grouped_class_counts = {group: 0 for group in grouped_classes}\n",
    "\n",
    "# Count the number of images in each group\n",
    "for images, labels in training_set:\n",
    "    for label in labels:\n",
    "        class_index = label.numpy().argmax()\n",
    "        class_name = class_names[class_index]\n",
    "        for group, classes in grouped_classes.items():\n",
    "            if class_name in classes:\n",
    "                grouped_class_counts[group] += 1\n",
    "                break\n",
    "\n",
    "# Convert the grouped class counts to a pandas DataFrame\n",
    "df_grouped_class_counts = pd.DataFrame(list(grouped_class_counts.items()), columns=['Group', 'Count'])\n",
    "\n",
    "# Plot the pie chart\n",
    "plt.figure(figsize=(12, 8))\n",
    "plt.pie(df_grouped_class_counts['Count'], labels=df_grouped_class_counts['Group'], autopct='%1.1f%%', startangle=140)\n",
    "plt.title('Distribution of the Studies per Multiple Plant Leaf and/or Crop Species')\n",
    "plt.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "78c7ccdb-06f2-47c9-b6a9-56d657cfeb29",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}