first commit

.gitattributes

@@ -33,3 +33,206 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model_deployment/static/uploads/upload_image.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_113.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_268.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_313.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_358.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_371.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_418.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_422.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_430.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_496.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_5.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_523.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_538.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_545.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_564.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_574.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_595.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_60.jpg filter=lfs diff=lfs merge=lfs -text
+test/cats/cat_96.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_123.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_141.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_211.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_227.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_229.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_28.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_377.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_380.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_398.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_421.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_43.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_464.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_528.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_536.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_551.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_563.jpg filter=lfs diff=lfs merge=lfs -text
+test/dogs/dog_68.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_10.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_111.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_120.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_123.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_132.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_138.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_146.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_148.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_149.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_15.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_168.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_183.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_194.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_201.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_202.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_214.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_215.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_220.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_230.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_253.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_26.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_261.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_263.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_27.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_298.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_3.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_310.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_317.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_329.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_333.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_348.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_35.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_367.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_37.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_373.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_377.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_38.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_380.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_381.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_408.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_414.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_416.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_419.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_420.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_423.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_440.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_452.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_46.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_461.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_463.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_467.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_487.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_492.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_493.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_500.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_511.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_519.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_526.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_531.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_535.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_548.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_553.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_556.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_558.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_560.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_565.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_569.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_570.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_58.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_580.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_581.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_591.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_592.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_604.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_605.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_61.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_67.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_70.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_77.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_80.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_93.jpg filter=lfs diff=lfs merge=lfs -text
+train/cats/cat_97.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_0.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_10.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_106.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_125.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_128.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_13.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_133.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_136.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_139.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_151.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_162.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_165.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_167.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_178.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_186.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_193.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_202.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_206.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_209.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_21.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_212.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_220.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_243.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_249.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_253.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_259.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_262.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_269.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_273.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_277.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_281.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_286.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_30.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_32.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_322.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_325.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_338.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_345.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_350.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_358.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_363.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_375.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_381.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_389.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_391.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_4.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_402.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_405.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_409.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_417.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_423.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_427.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_432.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_437.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_438.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_440.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_445.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_446.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_447.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_448.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_452.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_473.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_485.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_490.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_494.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_496.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_501.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_51.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_514.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_552.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_560.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_566.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_571.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_579.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_580.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_591.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_596.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_69.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_7.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_74.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_82.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_84.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_85.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_90.jpg filter=lfs diff=lfs merge=lfs -text
+train/dogs/dog_93.jpg filter=lfs diff=lfs merge=lfs -text

cnn_tutorial.ipynb

@@ -0,0 +1,200 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Import library"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import cv2\n",
+    "import tensorflow as tf\n",
+    "from tensorflow import keras\n",
+    "from keras import layers, models, optimizers, losses, metrics, preprocessing\n",
+    "from keras.models import Sequential\n",
+    "from keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout\n",
+    "from tensorflow.keras.preprocessing.image import ImageDataGenerator"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 1823 images belonging to 2 classes.\n",
+      "Found 200 images belonging to 2 classes.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\Home\\anaconda3\\Lib\\site-packages\\keras\\src\\trainers\\data_adapters\\py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n",
+      "  self._warn_if_super_not_called()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/15\n",
+      "\u001b[1m 92/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m1s\u001b[0m 209ms/step - accuracy: 0.5003 - loss: 0.7080"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\Home\\anaconda3\\Lib\\site-packages\\keras\\src\\trainers\\epoch_iterator.py:107: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n",
+      "  self._interrupted_warning()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 202ms/step - accuracy: 0.5011 - loss: 0.7071 - val_accuracy: 0.4850 - val_loss: 0.6858\n",
+      "Epoch 2/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m38s\u001b[0m 385ms/step - accuracy: 0.5660 - loss: 0.6854 - val_accuracy: 0.5800 - val_loss: 0.6501\n",
+      "Epoch 3/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 437ms/step - accuracy: 0.6389 - loss: 0.6303 - val_accuracy: 0.5950 - val_loss: 0.6571\n",
+      "Epoch 4/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m43s\u001b[0m 433ms/step - accuracy: 0.6392 - loss: 0.6369 - val_accuracy: 0.6750 - val_loss: 0.6175\n",
+      "Epoch 5/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 433ms/step - accuracy: 0.6641 - loss: 0.6072 - val_accuracy: 0.6750 - val_loss: 0.6209\n",
+      "Epoch 6/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 436ms/step - accuracy: 0.6638 - loss: 0.6029 - val_accuracy: 0.7000 - val_loss: 0.5767\n",
+      "Epoch 7/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 433ms/step - accuracy: 0.6974 - loss: 0.5602 - val_accuracy: 0.7200 - val_loss: 0.5445\n",
+      "Epoch 8/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m43s\u001b[0m 432ms/step - accuracy: 0.7302 - loss: 0.5413 - val_accuracy: 0.7700 - val_loss: 0.5169\n",
+      "Epoch 9/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 433ms/step - accuracy: 0.7109 - loss: 0.5401 - val_accuracy: 0.7200 - val_loss: 0.5424\n",
+      "Epoch 10/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 434ms/step - accuracy: 0.7552 - loss: 0.4997 - val_accuracy: 0.6900 - val_loss: 0.5927\n",
+      "Epoch 11/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 433ms/step - accuracy: 0.7483 - loss: 0.5010 - val_accuracy: 0.7550 - val_loss: 0.5527\n",
+      "Epoch 12/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m42s\u001b[0m 417ms/step - accuracy: 0.7430 - loss: 0.5135 - val_accuracy: 0.7550 - val_loss: 0.5013\n",
+      "Epoch 13/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m43s\u001b[0m 433ms/step - accuracy: 0.7678 - loss: 0.4847 - val_accuracy: 0.7800 - val_loss: 0.5143\n",
+      "Epoch 14/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 434ms/step - accuracy: 0.7890 - loss: 0.4463 - val_accuracy: 0.7600 - val_loss: 0.5209\n",
+      "Epoch 15/15\n",
+      "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m43s\u001b[0m 426ms/step - accuracy: 0.8115 - loss: 0.4065 - val_accuracy: 0.7650 - val_loss: 0.4908\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"
+     ]
+    }
+   ],
+   "source": [
+    "img_width, img_height = 150, 150\n",
+    "\n",
+    "# Model CNN đơn giản\n",
+    "model = Sequential([\n",
+    "    # lớp tích chập đầu tiên với 32 bộ lọc, kích thước kernel (3, 5)\n",
+    "    Conv2D(32, (3, 3), activation='relu', input_shape=(img_width, img_height, 3)),\n",
+    "    MaxPooling2D(pool_size=(2, 2)),\n",
+    "    \n",
+    "    # lớp tích chập thứ 2 có 64 bộ lọc\n",
+    "    Conv2D(64, (3, 3), activation='relu'),\n",
+    "    MaxPooling2D(pool_size=(2, 2)),\n",
+    "    \n",
+    "    # lớp tích chập thứ 3 có 128 bộ lọc\n",
+    "    Conv2D(128, (3, 3), activation='relu'),\n",
+    "    MaxPooling2D(pool_size=(2, 2)),\n",
+    "    \n",
+    "    # chuyển đổi đầu ra -> vector 1d\n",
+    "    Flatten(),\n",
+    "    \n",
+    "    # lớp dense 512 neuron\n",
+    "    Dense(512, activation='relu'),\n",
+    "    Dropout(0.5),\n",
+    "    \n",
+    "    # lớp đầu ra: 1 neuron với hàm activation là sigmoid -> phân loại chó/mèo\n",
+    "    Dense(1, activation='sigmoid')\n",
+    "])\n",
+    "\n",
+    "# biên dịch mô hình\n",
+    "model.compile(loss='binary_crossentropy',\n",
+    "             optimizer='adam',\n",
+    "             metrics=['accuracy'])\n",
+    "\n",
+    "# dùng ImageDataGenerator -> chuẩn hóa ảnh, thực hiện data augmentation\n",
+    "train_datagen = ImageDataGenerator(\n",
+    "    rescale=1./255,\n",
+    "    shear_range=0.2,\n",
+    "    zoom_range=0.2,\n",
+    "    horizontal_flip=True\n",
+    ")\n",
+    "\n",
+    "test_datagen = ImageDataGenerator(rescale=1./255)\n",
+    "\n",
+    "# tạo generator cho train và valid\n",
+    "train_generator = train_datagen.flow_from_directory(\n",
+    "    'data.cat_dog/train',\n",
+    "    target_size=(img_width, img_height),\n",
+    "    batch_size=20,\n",
+    "    class_mode='binary'\n",
+    ")\n",
+    "\n",
+    "valid_generator = test_datagen.flow_from_directory(\n",
+    "    'data.cat_dog/valid',\n",
+    "    target_size=(img_width, img_height),\n",
+    "    batch_size=20,\n",
+    "    class_mode='binary'\n",
+    ")\n",
+    "\n",
+    "# huấn luyện\n",
+    "history= model.fit(\n",
+    "    train_generator,\n",
+    "    steps_per_epoch=100,\n",
+    "    epochs=15,\n",
+    "    validation_data=valid_generator,\n",
+    "    validation_steps=50\n",
+    ")\n",
+    "\n",
+    "model.save('cnn_cats_dogs.h5')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}