{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import tensorflow as tf\nfrom tensorflow.keras.layers import Conv2D, Input, BatchNormalization, LeakyReLU, ZeroPadding2D, UpSampling2D, MaxPooling2D, Flatten, Dropout, Dense, GlobalAveragePooling2D\nfrom tensorflow.keras.models import Model\nfrom sklearn.preprocessing import LabelEncoder, OneHotEncoder\nimport os\nimport cv2\nimport numpy as np\nfrom zipfile import ZipFile\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:34:12.81185Z","iopub.execute_input":"2023-08-01T06:34:12.812409Z","iopub.status.idle":"2023-08-01T06:34:22.367179Z","shell.execute_reply.started":"2023-08-01T06:34:12.812381Z","shell.execute_reply":"2023-08-01T06:34:22.366155Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.5\n  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n/opt/conda/lib/python3.10/site-packages/tensorflow_io/python/ops/__init__.py:98: UserWarning: unable to load libtensorflow_io_plugins.so: unable to open file: libtensorflow_io_plugins.so, from paths: ['/opt/conda/lib/python3.10/site-packages/tensorflow_io/python/ops/libtensorflow_io_plugins.so']\ncaused by: ['/opt/conda/lib/python3.10/site-packages/tensorflow_io/python/ops/libtensorflow_io_plugins.so: undefined symbol: _ZN3tsl6StatusC1EN10tensorflow5error4CodeESt17basic_string_viewIcSt11char_traitsIcEENS_14SourceLocationE']\n  warnings.warn(f\"unable to load libtensorflow_io_plugins.so: {e}\")\n/opt/conda/lib/python3.10/site-packages/tensorflow_io/python/ops/__init__.py:104: UserWarning: file system plugins are not loaded: unable to open file: libtensorflow_io.so, from paths: ['/opt/conda/lib/python3.10/site-packages/tensorflow_io/python/ops/libtensorflow_io.so']\ncaused by: ['/opt/conda/lib/python3.10/site-packages/tensorflow_io/python/ops/libtensorflow_io.so: undefined symbol: _ZTVN10tensorflow13GcsFileSystemE']\n  warnings.warn(f\"file system plugins are not loaded: {e}\")\n","output_type":"stream"}]},{"cell_type":"code","source":"!pip install tensorflow-io","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:34:22.369141Z","iopub.execute_input":"2023-08-01T06:34:22.369946Z","iopub.status.idle":"2023-08-01T06:34:34.556029Z","shell.execute_reply.started":"2023-08-01T06:34:22.369909Z","shell.execute_reply":"2023-08-01T06:34:34.554862Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"Requirement already satisfied: tensorflow-io in /opt/conda/lib/python3.10/site-packages (0.31.0)\nRequirement already satisfied: tensorflow-io-gcs-filesystem==0.31.0 in /opt/conda/lib/python3.10/site-packages (from tensorflow-io) (0.31.0)\n","output_type":"stream"}]},{"cell_type":"code","source":"from PIL import Image\nimport matplotlib.pyplot as plt \nimport matplotlib.image as mpimg\nfrom sklearn.model_selection import train_test_split\n","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:34:34.558224Z","iopub.execute_input":"2023-08-01T06:34:34.559485Z","iopub.status.idle":"2023-08-01T06:34:34.648219Z","shell.execute_reply.started":"2023-08-01T06:34:34.559443Z","shell.execute_reply":"2023-08-01T06:34:34.647052Z"},"trusted":true},"execution_count":3,"outputs":[]},{"cell_type":"code","source":"dataset = '/kaggle/input/dogs-vs-cats/train.zip'\n\nwith ZipFile(dataset, 'r') as zip:\n  zip.extractall()\n  print('The dataset is extracted')\n","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:34:34.651104Z","iopub.execute_input":"2023-08-01T06:34:34.651589Z","iopub.status.idle":"2023-08-01T06:34:44.574844Z","shell.execute_reply.started":"2023-08-01T06:34:34.651553Z","shell.execute_reply":"2023-08-01T06:34:44.573876Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stdout","text":"The dataset is extracted\n","output_type":"stream"}]},{"cell_type":"code","source":"file_names = os.listdir('/kaggle/working/train')\n","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:34:44.576391Z","iopub.execute_input":"2023-08-01T06:34:44.576764Z","iopub.status.idle":"2023-08-01T06:34:44.597858Z","shell.execute_reply.started":"2023-08-01T06:34:44.57673Z","shell.execute_reply":"2023-08-01T06:34:44.596963Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"code","source":"img = mpimg.imread('/kaggle/working/train/cat.777.jpg')\nimgplt = plt.imshow(img)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:34:44.599425Z","iopub.execute_input":"2023-08-01T06:34:44.599857Z","iopub.status.idle":"2023-08-01T06:34:44.956742Z","shell.execute_reply.started":"2023-08-01T06:34:44.599808Z","shell.execute_reply":"2023-08-01T06:34:44.955814Z"},"trusted":true},"execution_count":6,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"file_names = os.listdir('/kaggle/working/train/')\n\ndog_count = 0\ncat_count = 0\n\nfor img_file in file_names:\n\n  name = img_file[0:3]\n\n  if name == 'dog':\n    dog_count += 1\n\n  else:\n    cat_count += 1\n\nprint('Number of dog images =', dog_count)\nprint('Number of cat images =', cat_count)","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:34:44.957805Z","iopub.execute_input":"2023-08-01T06:34:44.958187Z","iopub.status.idle":"2023-08-01T06:34:44.9943Z","shell.execute_reply.started":"2023-08-01T06:34:44.958149Z","shell.execute_reply":"2023-08-01T06:34:44.993283Z"},"trusted":true},"execution_count":7,"outputs":[{"name":"stdout","text":"Number of dog images = 12500\nNumber of cat images = 12500\n","output_type":"stream"}]},{"cell_type":"code","source":"directory_path = '/kaggle/working/resized_img'\ntry:\n    os.makedirs(directory_path)\n    print(f\"Directory '{directory_path}' created successfully.\")\nexcept FileExistsError:\n    print(f\"Directory '{directory_path}' already exists.\")","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:34:44.995704Z","iopub.execute_input":"2023-08-01T06:34:44.99626Z","iopub.status.idle":"2023-08-01T06:34:45.003102Z","shell.execute_reply.started":"2023-08-01T06:34:44.996226Z","shell.execute_reply":"2023-08-01T06:34:45.00205Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"Directory '/kaggle/working/resized_img' created successfully.\n","output_type":"stream"}]},{"cell_type":"code","source":"original_folder = '/kaggle/working/train'\nresized_folder = '/kaggle/working/resized_img'\n\nfor i in range(5000):\n\n  filename = os.listdir(original_folder)[i]\n  img_path = original_folder +'/'+ filename\n\n  img = Image.open(img_path)\n  img = img.resize((224, 224))\n  img = img.convert('RGB')\n\n  newImgPath = resized_folder+'/'+ filename\n  img.save(newImgPath)\n","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:34:45.004342Z","iopub.execute_input":"2023-08-01T06:34:45.004969Z","iopub.status.idle":"2023-08-01T06:36:15.911936Z","shell.execute_reply.started":"2023-08-01T06:34:45.004929Z","shell.execute_reply":"2023-08-01T06:36:15.910953Z"},"trusted":true},"execution_count":9,"outputs":[]},{"cell_type":"code","source":"filenames = os.listdir('/kaggle/working/resized_img/')\n\n\nlabels = []\n\nfor i in range(5000):\n\n  file_name = filenames[i]\n  label = file_name[0:3]\n\n  if label == 'dog':\n    labels.append(1)\n\n  else:\n    labels.append(0)","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:15.916382Z","iopub.execute_input":"2023-08-01T06:36:15.916681Z","iopub.status.idle":"2023-08-01T06:36:15.939656Z","shell.execute_reply.started":"2023-08-01T06:36:15.916655Z","shell.execute_reply":"2023-08-01T06:36:15.934043Z"},"trusted":true},"execution_count":10,"outputs":[]},{"cell_type":"code","source":"print(filenames[0:5])\nprint(len(filenames))","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:15.94111Z","iopub.execute_input":"2023-08-01T06:36:15.941464Z","iopub.status.idle":"2023-08-01T06:36:15.947224Z","shell.execute_reply.started":"2023-08-01T06:36:15.941432Z","shell.execute_reply":"2023-08-01T06:36:15.946053Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"['cat.7560.jpg', 'cat.8278.jpg', 'cat.1974.jpg', 'dog.11904.jpg', 'dog.2940.jpg']\n5000\n","output_type":"stream"}]},{"cell_type":"code","source":"print(labels[0:10])\nprint(len(labels))","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:15.948767Z","iopub.execute_input":"2023-08-01T06:36:15.949535Z","iopub.status.idle":"2023-08-01T06:36:15.960066Z","shell.execute_reply.started":"2023-08-01T06:36:15.949501Z","shell.execute_reply":"2023-08-01T06:36:15.959168Z"},"trusted":true},"execution_count":12,"outputs":[{"name":"stdout","text":"[0, 0, 0, 1, 1, 0, 0, 0, 0, 1]\n5000\n","output_type":"stream"}]},{"cell_type":"code","source":"values, counts = np.unique(labels, return_counts=True)\nprint(values)\nprint(counts)","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:15.961656Z","iopub.execute_input":"2023-08-01T06:36:15.962102Z","iopub.status.idle":"2023-08-01T06:36:15.971636Z","shell.execute_reply.started":"2023-08-01T06:36:15.962069Z","shell.execute_reply":"2023-08-01T06:36:15.970531Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stdout","text":"[0 1]\n[2562 2438]\n","output_type":"stream"}]},{"cell_type":"code","source":"# Create the ImageDataGenerator with additional data augmentation settings\ntrain_datagen = ImageDataGenerator(\n    rescale=1.0 / 255.0,\n    rotation_range=45,              # Increased rotation range\n    width_shift_range=0.2,\n    height_shift_range=0.2,\n    shear_range=0.2,\n    zoom_range=0.2,\n    horizontal_flip=True,\n    vertical_flip=True,             # Enable vertical flipping\n    brightness_range=(0.8, 1.2),    # Randomly adjust brightness\n    fill_mode='nearest'\n)\n\n# Load training data from the directory and apply data augmentation\ntrain_generator = train_datagen.flow_from_directory(\n    '/kaggle/working/resized_img',  # Directory containing training images\n    target_size=(224, 224),         # Resize images to (224, 224)\n    batch_size=32,                  # Batch size\n    class_mode='binary'             # Binary classification (you may need to change this based on your data)\n)","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:15.973272Z","iopub.execute_input":"2023-08-01T06:36:15.974176Z","iopub.status.idle":"2023-08-01T06:36:16.026123Z","shell.execute_reply.started":"2023-08-01T06:36:15.974141Z","shell.execute_reply":"2023-08-01T06:36:16.025204Z"},"trusted":true},"execution_count":14,"outputs":[{"name":"stdout","text":"Found 0 images belonging to 0 classes.\n","output_type":"stream"}]},{"cell_type":"code","source":"import glob\nimage_directory = '/kaggle/working/resized_img/'\nimage_extension = ['png', 'jpg']\n\nfiles = []\n\n[files.extend(glob.glob(image_directory + '*.' + e)) for e in image_extension]\n\ndog_cat_images = np.asarray([cv2.imread(file) for file in files])","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:16.027509Z","iopub.execute_input":"2023-08-01T06:36:16.027825Z","iopub.status.idle":"2023-08-01T06:36:20.983977Z","shell.execute_reply.started":"2023-08-01T06:36:16.027795Z","shell.execute_reply":"2023-08-01T06:36:20.982988Z"},"trusted":true},"execution_count":15,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(dog_cat_images)\n","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:20.988903Z","iopub.execute_input":"2023-08-01T06:36:20.991662Z","iopub.status.idle":"2023-08-01T06:36:21.006067Z","shell.execute_reply.started":"2023-08-01T06:36:20.991626Z","shell.execute_reply":"2023-08-01T06:36:21.005119Z"},"trusted":true},"execution_count":16,"outputs":[{"name":"stdout","text":"[[[[  8  10  18]\n   [  8  10  18]\n   [  8  10  18]\n   ...\n   [208 229 250]\n   [187 213 237]\n   [162 190 214]]\n\n  [[  9  11  19]\n   [  9  11  19]\n   [  9  11  19]\n   ...\n   [210 234 254]\n   [190 219 240]\n   [166 197 220]]\n\n  [[ 10  12  20]\n   [ 10  12  20]\n   [ 10  12  20]\n   ...\n   [205 232 252]\n   [185 218 238]\n   [159 196 216]]\n\n  ...\n\n  [[ 19  15  50]\n   [ 19  15  50]\n   [ 19  15  50]\n   ...\n   [ 14  14  50]\n   [ 13  13  49]\n   [ 12  12  48]]\n\n  [[ 17  14  46]\n   [ 17  14  46]\n   [ 17  14  46]\n   ...\n   [ 14  14  50]\n   [ 13  13  49]\n   [ 13  13  49]]\n\n  [[ 19  17  47]\n   [ 20  18  48]\n   [ 20  18  48]\n   ...\n   [ 15  15  51]\n   [ 14  14  50]\n   [ 13  13  49]]]\n\n\n [[[254 254 254]\n   [254 254 254]\n   [254 254 254]\n   ...\n   [174 167 174]\n   [172 165 172]\n   [167 160 167]]\n\n  [[254 254 254]\n   [254 254 254]\n   [254 254 254]\n   ...\n   [177 170 177]\n   [174 167 174]\n   [169 162 169]]\n\n  [[254 254 254]\n   [254 254 254]\n   [254 254 254]\n   ...\n   [179 172 179]\n   [177 170 177]\n   [172 165 172]]\n\n  ...\n\n  [[119 123 141]\n   [125 129 147]\n   [127 131 149]\n   ...\n   [ 97 100 115]\n   [ 98 101 116]\n   [ 97 100 115]]\n\n  [[117 121 139]\n   [116 120 138]\n   [116 120 138]\n   ...\n   [ 96  99 114]\n   [ 96  99 114]\n   [ 95  98 113]]\n\n  [[114 118 136]\n   [107 111 129]\n   [104 108 126]\n   ...\n   [ 83  86 101]\n   [ 82  85 100]\n   [ 80  83  98]]]\n\n\n [[[ 16   3  41]\n   [ 17   4  42]\n   [ 17   7  43]\n   ...\n   [ 34  66  42]\n   [ 47  79  55]\n   [ 48  83  57]]\n\n  [[ 19   7  43]\n   [ 19   7  43]\n   [ 17   7  43]\n   ...\n   [ 39  71  47]\n   [ 44  78  54]\n   [ 43  80  54]]\n\n  [[ 18   9  42]\n   [ 17   9  40]\n   [ 17   9  40]\n   ...\n   [ 39  73  49]\n   [ 38  74  50]\n   [ 38  77  51]]\n\n  ...\n\n  [[ 66  59  50]\n   [ 81  76  67]\n   [117 113 108]\n   ...\n   [115 108 105]\n   [ 98  92  87]\n   [ 70  64  59]]\n\n  [[ 84  79  70]\n   [105 103  93]\n   [136 132 127]\n   ...\n   [ 67  60  57]\n   [ 72  66  61]\n   [ 72  66  61]]\n\n  [[120 118 108]\n   [116 114 104]\n   [133 130 125]\n   ...\n   [ 31  24  21]\n   [ 54  48  43]\n   [ 96  90  85]]]\n\n\n ...\n\n\n [[[ 33  35  36]\n   [ 31  33  34]\n   [ 73  75  76]\n   ...\n   [ 18  18  18]\n   [ 19  19  19]\n   [ 19  19  19]]\n\n  [[ 31  33  34]\n   [ 38  40  41]\n   [ 78  80  81]\n   ...\n   [ 19  19  19]\n   [ 19  19  19]\n   [ 20  20  20]]\n\n  [[ 26  28  29]\n   [ 48  50  51]\n   [ 85  87  88]\n   ...\n   [ 19  19  19]\n   [ 20  20  20]\n   [ 20  20  20]]\n\n  ...\n\n  [[ 68  86 109]\n   [ 75  93 116]\n   [ 83 101 124]\n   ...\n   [ 37  26  22]\n   [ 37  26  22]\n   [ 33  22  18]]\n\n  [[ 39  58  79]\n   [ 52  71  92]\n   [ 70  89 110]\n   ...\n   [ 32  21  17]\n   [ 29  18  14]\n   [ 25  14  10]]\n\n  [[ 15  35  53]\n   [ 32  52  70]\n   [ 56  75  96]\n   ...\n   [ 30  19  15]\n   [ 32  21  17]\n   [ 30  19  15]]]\n\n\n [[[140 124 135]\n   [203 187 198]\n   [212 197 205]\n   ...\n   [253 253 253]\n   [253 255 255]\n   [253 255 255]]\n\n  [[146 130 141]\n   [176 160 171]\n   [230 215 223]\n   ...\n   [253 253 253]\n   [253 255 255]\n   [253 255 255]]\n\n  [[157 142 150]\n   [146 131 139]\n   [243 228 236]\n   ...\n   [253 253 253]\n   [253 255 255]\n   [253 255 255]]\n\n  ...\n\n  [[163 166 174]\n   [159 163 168]\n   [156 159 167]\n   ...\n   [ 79  89  83]\n   [ 75  85  79]\n   [ 69  79  73]]\n\n  [[180 185 194]\n   [181 187 194]\n   [178 183 192]\n   ...\n   [ 80  90  84]\n   [ 77  87  81]\n   [ 71  81  75]]\n\n  [[192 199 208]\n   [198 205 214]\n   [198 203 212]\n   ...\n   [ 74  84  78]\n   [ 77  87  81]\n   [ 76  86  80]]]\n\n\n [[[  4  24  25]\n   [ 21  39  40]\n   [ 22  35  37]\n   ...\n   [ 29  34  35]\n   [ 29  34  35]\n   [  8  13  14]]\n\n  [[  5  25  26]\n   [ 21  39  40]\n   [ 21  34  36]\n   ...\n   [ 28  33  34]\n   [ 29  34  35]\n   [  9  14  15]]\n\n  [[  7  27  28]\n   [ 21  39  40]\n   [ 20  33  35]\n   ...\n   [ 28  33  34]\n   [ 29  34  35]\n   [  9  14  15]]\n\n  ...\n\n  [[ 95 133 138]\n   [ 62 100 105]\n   [ 86 117 126]\n   ...\n   [111  97  75]\n   [109  95  76]\n   [136 125 103]]\n\n  [[ 93 129 135]\n   [ 56  92  98]\n   [ 88 117 126]\n   ...\n   [111  90  68]\n   [109  90  69]\n   [136 120  97]]\n\n  [[ 87 123 129]\n   [ 51  85  91]\n   [ 86 115 124]\n   ...\n   [112  89  67]\n   [107  84  62]\n   [130 109  87]]]]\n","output_type":"stream"}]},{"cell_type":"code","source":"x = dog_cat_images\ny = np.asarray(labels)","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:21.010927Z","iopub.execute_input":"2023-08-01T06:36:21.011677Z","iopub.status.idle":"2023-08-01T06:36:21.020552Z","shell.execute_reply.started":"2023-08-01T06:36:21.011644Z","shell.execute_reply":"2023-08-01T06:36:21.019636Z"},"trusted":true},"execution_count":17,"outputs":[]},{"cell_type":"code","source":"print(x.shape)  # Should be (num_samples, ...)\nprint(y.shape)  # Should be (num_samples, ...)\n\n# Ensure x and y have the same number of samples\nassert x.shape[0] == y.shape[0]\n\nx_train,x_test,y_train,y_test = train_test_split(x,y,train_size=0.8,random_state=42)","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:21.024866Z","iopub.execute_input":"2023-08-01T06:36:21.027957Z","iopub.status.idle":"2023-08-01T06:36:21.270501Z","shell.execute_reply.started":"2023-08-01T06:36:21.027921Z","shell.execute_reply":"2023-08-01T06:36:21.26946Z"},"trusted":true},"execution_count":18,"outputs":[{"name":"stdout","text":"(5000, 224, 224, 3)\n(5000,)\n","output_type":"stream"}]},{"cell_type":"code","source":"print(x.shape, x_train.shape, x_test.shape)\n","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:21.271955Z","iopub.execute_input":"2023-08-01T06:36:21.272348Z","iopub.status.idle":"2023-08-01T06:36:21.279145Z","shell.execute_reply.started":"2023-08-01T06:36:21.272312Z","shell.execute_reply":"2023-08-01T06:36:21.278073Z"},"trusted":true},"execution_count":19,"outputs":[{"name":"stdout","text":"(5000, 224, 224, 3) (4000, 224, 224, 3) (1000, 224, 224, 3)\n","output_type":"stream"}]},{"cell_type":"code","source":"x_train_scaled = x_train/255\n\nx_test_scaled = x_test/255","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:21.280703Z","iopub.execute_input":"2023-08-01T06:36:21.281612Z","iopub.status.idle":"2023-08-01T06:36:23.605588Z","shell.execute_reply.started":"2023-08-01T06:36:21.281577Z","shell.execute_reply":"2023-08-01T06:36:23.604492Z"},"trusted":true},"execution_count":20,"outputs":[]},{"cell_type":"code","source":"import tensorflow as tf\nfrom tensorflow.keras import regularizers\n\nweight_decay = 0.01\ndropout_rate = 0.2\n\nmodel = tf.keras.models.Sequential([\n    tf.keras.layers.Conv2D(64, (3, 3), activation='relu', input_shape=(224, 224, 3),\n                           kernel_regularizer=regularizers.l2(weight_decay)),\n    tf.keras.layers.BatchNormalization(),\n    tf.keras.layers.MaxPooling2D(2, 2),\n\n    tf.keras.layers.Conv2D(32, (3, 3), activation='relu',\n                           kernel_regularizer=regularizers.l2(weight_decay)),\n    tf.keras.layers.BatchNormalization(),\n    tf.keras.layers.MaxPooling2D(2, 2),\n\n    tf.keras.layers.Conv2D(16, (3, 3), activation='relu',\n                           kernel_regularizer=regularizers.l2(weight_decay)),\n    tf.keras.layers.BatchNormalization(),\n    tf.keras.layers.MaxPooling2D(2, 2),\n\n    tf.keras.layers.Conv2D(8, (3, 3), activation='relu',\n                           kernel_regularizer=regularizers.l2(weight_decay)),\n    tf.keras.layers.BatchNormalization(),\n    tf.keras.layers.MaxPooling2D(2, 2),\n\n    tf.keras.layers.Flatten(),\n\n    tf.keras.layers.Dense(1, activation='sigmoid')\n])\n","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:23.607168Z","iopub.execute_input":"2023-08-01T06:36:23.607668Z","iopub.status.idle":"2023-08-01T06:36:26.812136Z","shell.execute_reply.started":"2023-08-01T06:36:23.607628Z","shell.execute_reply":"2023-08-01T06:36:26.811038Z"},"trusted":true},"execution_count":21,"outputs":[]},{"cell_type":"code","source":"from tensorflow.keras.optimizers import RMSprop\n\noptimizer = tf.keras.optimizers.Adam(learning_rate=0.001)\n\nmodel.compile(loss='binary_crossentropy',\noptimizer='adam',\nmetrics=['acc'])","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:26.814114Z","iopub.execute_input":"2023-08-01T06:36:26.814654Z","iopub.status.idle":"2023-08-01T06:36:26.845946Z","shell.execute_reply.started":"2023-08-01T06:36:26.81462Z","shell.execute_reply":"2023-08-01T06:36:26.845069Z"},"trusted":true},"execution_count":22,"outputs":[]},{"cell_type":"code","source":"import time\nstart_time = time.time()\nmodel.fit(x_train, y_train,validation_data=(x_test, y_test),batch_size=32, epochs=50)\nend_time = time.time()\ntraining_time = end_time - start_time\nprint(f'Training time: {training_time:.2f} seconds')","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:36:26.850383Z","iopub.execute_input":"2023-08-01T06:36:26.852649Z","iopub.status.idle":"2023-08-01T06:40:51.703925Z","shell.execute_reply.started":"2023-08-01T06:36:26.852615Z","shell.execute_reply":"2023-08-01T06:40:51.702925Z"},"trusted":true},"execution_count":23,"outputs":[{"name":"stdout","text":"Epoch 1/50\n125/125 [==============================] - 17s 44ms/step - loss: 1.4185 - acc: 0.6230 - val_loss: 1.3810 - val_acc: 0.5760\nEpoch 2/50\n125/125 [==============================] - 5s 41ms/step - loss: 1.1161 - acc: 0.6850 - val_loss: 1.0697 - val_acc: 0.6540\nEpoch 3/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.9187 - acc: 0.7203 - val_loss: 0.9506 - val_acc: 0.6570\nEpoch 4/50\n125/125 [==============================] - 5s 42ms/step - loss: 0.7890 - acc: 0.7410 - val_loss: 0.8516 - val_acc: 0.6740\nEpoch 5/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.7009 - acc: 0.7610 - val_loss: 0.8427 - val_acc: 0.6800\nEpoch 6/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.6645 - acc: 0.7665 - val_loss: 0.8464 - val_acc: 0.6690\nEpoch 7/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.6247 - acc: 0.7740 - val_loss: 0.8262 - val_acc: 0.6810\nEpoch 8/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.5905 - acc: 0.7910 - val_loss: 0.7810 - val_acc: 0.6800\nEpoch 9/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.5596 - acc: 0.8015 - val_loss: 0.8661 - val_acc: 0.6860\nEpoch 10/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.5499 - acc: 0.8055 - val_loss: 1.6511 - val_acc: 0.5710\nEpoch 11/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.5257 - acc: 0.8115 - val_loss: 0.8143 - val_acc: 0.6780\nEpoch 12/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.5092 - acc: 0.8198 - val_loss: 0.9214 - val_acc: 0.6630\nEpoch 13/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.5100 - acc: 0.8238 - val_loss: 0.9262 - val_acc: 0.6540\nEpoch 14/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.4997 - acc: 0.8305 - val_loss: 0.7324 - val_acc: 0.7140\nEpoch 15/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.4748 - acc: 0.8345 - val_loss: 0.9171 - val_acc: 0.7010\nEpoch 16/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.4650 - acc: 0.8418 - val_loss: 0.7132 - val_acc: 0.7240\nEpoch 17/50\n125/125 [==============================] - 5s 42ms/step - loss: 0.4680 - acc: 0.8395 - val_loss: 0.7072 - val_acc: 0.7190\nEpoch 18/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.4410 - acc: 0.8525 - val_loss: 0.7523 - val_acc: 0.7130\nEpoch 19/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.4288 - acc: 0.8625 - val_loss: 0.8354 - val_acc: 0.7290\nEpoch 20/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.4192 - acc: 0.8620 - val_loss: 0.8388 - val_acc: 0.6960\nEpoch 21/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.4278 - acc: 0.8605 - val_loss: 0.8827 - val_acc: 0.7090\nEpoch 22/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.4282 - acc: 0.8615 - val_loss: 0.8205 - val_acc: 0.7100\nEpoch 23/50\n125/125 [==============================] - 5s 42ms/step - loss: 0.3989 - acc: 0.8773 - val_loss: 1.0449 - val_acc: 0.6670\nEpoch 24/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3944 - acc: 0.8790 - val_loss: 0.9029 - val_acc: 0.7000\nEpoch 25/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3770 - acc: 0.8907 - val_loss: 0.8606 - val_acc: 0.7230\nEpoch 26/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3796 - acc: 0.8878 - val_loss: 0.8333 - val_acc: 0.7210\nEpoch 27/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3681 - acc: 0.8938 - val_loss: 0.7664 - val_acc: 0.7460\nEpoch 28/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3626 - acc: 0.8932 - val_loss: 0.8564 - val_acc: 0.7200\nEpoch 29/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.3709 - acc: 0.8955 - val_loss: 0.8686 - val_acc: 0.7310\nEpoch 30/50\n125/125 [==============================] - 5s 42ms/step - loss: 0.3483 - acc: 0.9053 - val_loss: 1.1431 - val_acc: 0.7000\nEpoch 31/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.3522 - acc: 0.9007 - val_loss: 0.7769 - val_acc: 0.7430\nEpoch 32/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.3398 - acc: 0.9055 - val_loss: 0.9214 - val_acc: 0.7140\nEpoch 33/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.3240 - acc: 0.9162 - val_loss: 1.0394 - val_acc: 0.7140\nEpoch 34/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.3373 - acc: 0.9070 - val_loss: 0.8409 - val_acc: 0.7330\nEpoch 35/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3269 - acc: 0.9140 - val_loss: 1.0596 - val_acc: 0.6950\nEpoch 36/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3164 - acc: 0.9160 - val_loss: 1.0800 - val_acc: 0.6980\nEpoch 37/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.2978 - acc: 0.9265 - val_loss: 0.8373 - val_acc: 0.7370\nEpoch 38/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.3215 - acc: 0.9160 - val_loss: 1.0492 - val_acc: 0.7220\nEpoch 39/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.3143 - acc: 0.9210 - val_loss: 1.0057 - val_acc: 0.7350\nEpoch 40/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.2946 - acc: 0.9335 - val_loss: 0.9769 - val_acc: 0.7320\nEpoch 41/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.2984 - acc: 0.9298 - val_loss: 0.9641 - val_acc: 0.7280\nEpoch 42/50\n125/125 [==============================] - 5s 42ms/step - loss: 0.2958 - acc: 0.9327 - val_loss: 0.9104 - val_acc: 0.7530\nEpoch 43/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.2772 - acc: 0.9383 - val_loss: 1.2278 - val_acc: 0.6860\nEpoch 44/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3031 - acc: 0.9202 - val_loss: 1.2845 - val_acc: 0.6860\nEpoch 45/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3063 - acc: 0.9193 - val_loss: 1.1245 - val_acc: 0.7340\nEpoch 46/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.2884 - acc: 0.9290 - val_loss: 0.9252 - val_acc: 0.7560\nEpoch 47/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.2817 - acc: 0.9360 - val_loss: 0.9745 - val_acc: 0.7370\nEpoch 48/50\n125/125 [==============================] - 5s 41ms/step - loss: 0.2670 - acc: 0.9425 - val_loss: 1.0417 - val_acc: 0.7120\nEpoch 49/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.2613 - acc: 0.9430 - val_loss: 1.3360 - val_acc: 0.7160\nEpoch 50/50\n125/125 [==============================] - 5s 39ms/step - loss: 0.3009 - acc: 0.9283 - val_loss: 1.1037 - val_acc: 0.7250\nTraining time: 264.84 seconds\n","output_type":"stream"}]},{"cell_type":"code","source":"score, acc = model.evaluate(x_test, y_test)\nprint(f'Test Loss ={score}')\nprint(f'Test Accuracy ={acc}')","metadata":{"execution":{"iopub.status.busy":"2023-08-01T06:40:51.706982Z","iopub.execute_input":"2023-08-01T06:40:51.707304Z","iopub.status.idle":"2023-08-01T06:40:52.40633Z","shell.execute_reply.started":"2023-08-01T06:40:51.707277Z","shell.execute_reply":"2023-08-01T06:40:52.405274Z"},"trusted":true},"execution_count":24,"outputs":[{"name":"stdout","text":"32/32 [==============================] - 0s 11ms/step - loss: 1.1037 - acc: 0.7250\nTest Loss =1.1036933660507202\nTest Accuracy =0.7250000238418579\n","output_type":"stream"}]},{"cell_type":"code","source":"","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"trusted":true},"execution_count":null,"outputs":[]}]}