{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":7327,"databundleVersionId":861871,"sourceType":"competition"},{"sourceId":3659,"sourceType":"modelInstanceVersion","modelInstanceId":2604,"modelId":301}],"dockerImageVersionId":30732,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import os\nimport pandas as pd\nimport numpy as np\nimport datetime\nimport random\n\nimport tensorflow as tf\nimport tensorflow_hub as hub\nimport tf_keras as tfk\nfrom tensorflow.keras.callbacks import TensorBoard, EarlyStopping\n\n\nfrom IPython.display import Image\nfrom sklearn.preprocessing import OneHotEncoder\nfrom sklearn.model_selection import train_test_split","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-07-16T11:09:03.302627Z","iopub.execute_input":"2024-07-16T11:09:03.303042Z","iopub.status.idle":"2024-07-16T11:09:17.710734Z","shell.execute_reply.started":"2024-07-16T11:09:03.303013Z","shell.execute_reply":"2024-07-16T11:09:17.709723Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stderr","text":"2024-07-16 11:09:06.103318: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-07-16 11:09:06.103426: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-07-16 11:09:06.239177: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}]},{"cell_type":"code","source":"# labels dataframe preparation\nlabels=pd.read_csv('/kaggle/input/dog-breed-identification/labels.csv')\nlabels.info()","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:17.712401Z","iopub.execute_input":"2024-07-16T11:09:17.712916Z","iopub.status.idle":"2024-07-16T11:09:17.76729Z","shell.execute_reply.started":"2024-07-16T11:09:17.71289Z","shell.execute_reply":"2024-07-16T11:09:17.766309Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 10222 entries, 0 to 10221\nData columns (total 2 columns):\n #   Column  Non-Null Count  Dtype \n---  ------  --------------  ----- \n 0   id      10222 non-null  object\n 1   breed   10222 non-null  object\ndtypes: object(2)\nmemory usage: 159.8+ KB\n","output_type":"stream"}]},{"cell_type":"code","source":"labels.sample(5)","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:17.768236Z","iopub.execute_input":"2024-07-16T11:09:17.768485Z","iopub.status.idle":"2024-07-16T11:09:17.783737Z","shell.execute_reply.started":"2024-07-16T11:09:17.768463Z","shell.execute_reply":"2024-07-16T11:09:17.782874Z"},"trusted":true},"execution_count":3,"outputs":[{"execution_count":3,"output_type":"execute_result","data":{"text/plain":"                                    id           breed\n6710  a85648ed4bd628838f5294085495293c   border_collie\n3409  54d4876e394145a19762cbe38b44b3d4   silky_terrier\n7062  b141511bd1e9f3010faa8582dd85303a  scotch_terrier\n5848  939a394d7e18424e4412bce67ecb9ced   irish_terrier\n4742  76f3c8cb1a8cc07aa8e54064d8594a6c      schipperke","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>breed</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>6710</th>\n      <td>a85648ed4bd628838f5294085495293c</td>\n      <td>border_collie</td>\n    </tr>\n    <tr>\n      <th>3409</th>\n      <td>54d4876e394145a19762cbe38b44b3d4</td>\n      <td>silky_terrier</td>\n    </tr>\n    <tr>\n      <th>7062</th>\n      <td>b141511bd1e9f3010faa8582dd85303a</td>\n      <td>scotch_terrier</td>\n    </tr>\n    <tr>\n      <th>5848</th>\n      <td>939a394d7e18424e4412bce67ecb9ced</td>\n      <td>irish_terrier</td>\n    </tr>\n    <tr>\n      <th>4742</th>\n      <td>76f3c8cb1a8cc07aa8e54064d8594a6c</td>\n      <td>schipperke</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# how many breeds do we have in the dataset?\nlen(labels['breed'].unique())","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:17.786218Z","iopub.execute_input":"2024-07-16T11:09:17.786828Z","iopub.status.idle":"2024-07-16T11:09:17.793456Z","shell.execute_reply.started":"2024-07-16T11:09:17.786803Z","shell.execute_reply":"2024-07-16T11:09:17.79248Z"},"trusted":true},"execution_count":4,"outputs":[{"execution_count":4,"output_type":"execute_result","data":{"text/plain":"120"},"metadata":{}}]},{"cell_type":"code","source":"# which dog breed does have more pictures?\nbreed = labels.groupby(by='breed').agg({'id':'count'})\nbreed.sort_values(by='id', ascending=False).head(10)","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:17.794367Z","iopub.execute_input":"2024-07-16T11:09:17.794636Z","iopub.status.idle":"2024-07-16T11:09:17.81095Z","shell.execute_reply.started":"2024-07-16T11:09:17.794615Z","shell.execute_reply":"2024-07-16T11:09:17.810083Z"},"trusted":true},"execution_count":5,"outputs":[{"execution_count":5,"output_type":"execute_result","data":{"text/plain":"                       id\nbreed                    \nscottish_deerhound    126\nmaltese_dog           117\nafghan_hound          116\nentlebucher           115\nbernese_mountain_dog  114\nshih-tzu              112\ngreat_pyrenees        111\npomeranian            111\nbasenji               110\nsamoyed               109","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n    </tr>\n    <tr>\n      <th>breed</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>scottish_deerhound</th>\n      <td>126</td>\n    </tr>\n    <tr>\n      <th>maltese_dog</th>\n      <td>117</td>\n    </tr>\n    <tr>\n      <th>afghan_hound</th>\n      <td>116</td>\n    </tr>\n    <tr>\n      <th>entlebucher</th>\n      <td>115</td>\n    </tr>\n    <tr>\n      <th>bernese_mountain_dog</th>\n      <td>114</td>\n    </tr>\n    <tr>\n      <th>shih-tzu</th>\n      <td>112</td>\n    </tr>\n    <tr>\n      <th>great_pyrenees</th>\n      <td>111</td>\n    </tr>\n    <tr>\n      <th>pomeranian</th>\n      <td>111</td>\n    </tr>\n    <tr>\n      <th>basenji</th>\n      <td>110</td>\n    </tr>\n    <tr>\n      <th>samoyed</th>\n      <td>109</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# one sample of pictures\nImage('/kaggle/input/dog-breed-identification/train/2796546b6e0e5e25f200df4b79ef0099.jpg')","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:17.811893Z","iopub.execute_input":"2024-07-16T11:09:17.81212Z","iopub.status.idle":"2024-07-16T11:09:17.827123Z","shell.execute_reply.started":"2024-07-16T11:09:17.812101Z","shell.execute_reply":"2024-07-16T11:09:17.826332Z"},"trusted":true},"execution_count":6,"outputs":[{"execution_count":6,"output_type":"execute_result","data":{"image/jpeg":"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","text/plain":"<IPython.core.display.Image object>"},"metadata":{}}]},{"cell_type":"code","source":"# create a list of filenames\nfilenames = ['/kaggle/input/dog-breed-identification/train/' + fname + '.jpg' for fname in labels['id'] ]\nlen(filenames)","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:17.828231Z","iopub.execute_input":"2024-07-16T11:09:17.828544Z","iopub.status.idle":"2024-07-16T11:09:17.840625Z","shell.execute_reply.started":"2024-07-16T11:09:17.828509Z","shell.execute_reply":"2024-07-16T11:09:17.839601Z"},"trusted":true},"execution_count":7,"outputs":[{"execution_count":7,"output_type":"execute_result","data":{"text/plain":"10222"},"metadata":{}}]},{"cell_type":"code","source":"# check random samples if labels fit to filename\nImage(filenames[1131])","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:17.84173Z","iopub.execute_input":"2024-07-16T11:09:17.842092Z","iopub.status.idle":"2024-07-16T11:09:17.857387Z","shell.execute_reply.started":"2024-07-16T11:09:17.842069Z","shell.execute_reply":"2024-07-16T11:09:17.856534Z"},"trusted":true},"execution_count":8,"outputs":[{"execution_count":8,"output_type":"execute_result","data":{"image/jpeg":"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","text/plain":"<IPython.core.display.Image object>"},"metadata":{}}]},{"cell_type":"code","source":"# check the number of pictures to compare with filenames list\nif len(os.listdir('/kaggle/input/dog-breed-identification/train')) == len(filenames):\n    print('Great!, one step more to be sure that we have matched data')\nelse:\n    print('check train folder')","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:17.858323Z","iopub.execute_input":"2024-07-16T11:09:17.858572Z","iopub.status.idle":"2024-07-16T11:09:18.359889Z","shell.execute_reply.started":"2024-07-16T11:09:17.858545Z","shell.execute_reply":"2024-07-16T11:09:18.358978Z"},"trusted":true},"execution_count":9,"outputs":[{"name":"stdout","text":"Great!, one step more to be sure that we have matched data\n","output_type":"stream"}]},{"cell_type":"code","source":"# general X and y preparation\nX = filenames\ny = labels['breed']","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:18.364342Z","iopub.execute_input":"2024-07-16T11:09:18.364642Z","iopub.status.idle":"2024-07-16T11:09:18.36886Z","shell.execute_reply.started":"2024-07-16T11:09:18.364616Z","shell.execute_reply":"2024-07-16T11:09:18.367976Z"},"trusted":true},"execution_count":10,"outputs":[]},{"cell_type":"code","source":"# One Hot Encoding for dogs breeds (y)\ny = pd.get_dummies(y)\nencoding_labels = y.columns\ny=y.to_numpy()","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:18.370011Z","iopub.execute_input":"2024-07-16T11:09:18.370378Z","iopub.status.idle":"2024-07-16T11:09:18.380342Z","shell.execute_reply.started":"2024-07-16T11:09:18.370346Z","shell.execute_reply":"2024-07-16T11:09:18.379461Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"code","source":"# create a smaller dataset for exmperiments (~1000)\nnumber_i = 1000\nX_train, X_val, y_train, y_val = train_test_split(X[:number_i], y[:number_i], test_size=0.2)\n\nlen(X_train), len(y_train), len(X_val), len(y_val)","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:18.381515Z","iopub.execute_input":"2024-07-16T11:09:18.382355Z","iopub.status.idle":"2024-07-16T11:09:18.390216Z","shell.execute_reply.started":"2024-07-16T11:09:18.382321Z","shell.execute_reply":"2024-07-16T11:09:18.389276Z"},"trusted":true},"execution_count":12,"outputs":[{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"(800, 800, 200, 200)"},"metadata":{}}]},{"cell_type":"markdown","source":"## **Preprocessing images (turning images into tensors)**","metadata":{}},{"cell_type":"markdown","source":"A few steps for changing images into numerical form and split it to smaller chunks (batches)","metadata":{}},{"cell_type":"code","source":"# parameters for image and batch size\nimg_size = 224\nbatch_size = 32","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:18.391404Z","iopub.execute_input":"2024-07-16T11:09:18.391685Z","iopub.status.idle":"2024-07-16T11:09:18.397545Z","shell.execute_reply.started":"2024-07-16T11:09:18.391662Z","shell.execute_reply":"2024-07-16T11:09:18.396487Z"},"trusted":true},"execution_count":13,"outputs":[]},{"cell_type":"code","source":"def prepare_image(image_path):\n    '''\n    turns an image into a tensor\n    '''\n    # read an image\n    image = tf.io.read_file(image_path)\n    # turn an image to numerical version\n    image = tf.image.decode_jpeg(image, channels=3)\n    # convert colours from 0-255 to 0-1\n    image = tf.image.convert_image_dtype(image, tf.float32)\n    # resize\n    image = tf.image.resize(image, size=[img_size, img_size])\n    return image","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:18.398643Z","iopub.execute_input":"2024-07-16T11:09:18.398943Z","iopub.status.idle":"2024-07-16T11:09:18.40613Z","shell.execute_reply.started":"2024-07-16T11:09:18.39892Z","shell.execute_reply":"2024-07-16T11:09:18.405294Z"},"trusted":true},"execution_count":14,"outputs":[]},{"cell_type":"code","source":"def get_label_image(image_path, label):\n    image = prepare_image(image_path)\n    \n    return image, label","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:18.407437Z","iopub.execute_input":"2024-07-16T11:09:18.407794Z","iopub.status.idle":"2024-07-16T11:09:18.418996Z","shell.execute_reply.started":"2024-07-16T11:09:18.407762Z","shell.execute_reply":"2024-07-16T11:09:18.418295Z"},"trusted":true},"execution_count":15,"outputs":[]},{"cell_type":"code","source":"def create_batches(X, y=None, batch_size=batch_size, valid_data=False, test_data=False):\n    '''\n    split a dataset to batches\n    '''\n    if test_data:\n        data = tf.data.Dataset.from_tensor_slices(tf.constant(X))\n        data_batch = data.map(prepare_image).batch(batch_size)\n    elif valid_data:\n        data = tf.data.Dataset.from_tensor_slices((tf.constant(X), tf.constant(y)))\n        data_batch = data.map(get_label_image).batch(batch_size)\n    else:\n        data = tf.data.Dataset.from_tensor_slices((tf.constant(X), tf.constant(y)))\n        data = data.shuffle(buffer_size=len(X))\n        data_batch = data.map(get_label_image).batch(batch_size)\n    \n    return data_batch","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:18.420191Z","iopub.execute_input":"2024-07-16T11:09:18.420736Z","iopub.status.idle":"2024-07-16T11:09:18.428919Z","shell.execute_reply.started":"2024-07-16T11:09:18.4207Z","shell.execute_reply":"2024-07-16T11:09:18.428169Z"},"trusted":true},"execution_count":16,"outputs":[]},{"cell_type":"code","source":"# create batches\n\n# train data\ntrain_data = create_batches(X_train, y_train)\n\n# test data\nvalid_data = create_batches(X_val, y_val, valid_data=True)","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:18.429875Z","iopub.execute_input":"2024-07-16T11:09:18.430195Z","iopub.status.idle":"2024-07-16T11:09:19.31073Z","shell.execute_reply.started":"2024-07-16T11:09:18.430145Z","shell.execute_reply":"2024-07-16T11:09:19.309942Z"},"trusted":true},"execution_count":17,"outputs":[]},{"cell_type":"markdown","source":"## **Create, train and validate a model**","metadata":{}},{"cell_type":"markdown","source":"Model Creation","metadata":{}},{"cell_type":"code","source":"# model parameters\ninput_shape = [None, img_size, img_size, 3]\noutput_shape = len(encoding_labels)\nmodel_url = \"https://kaggle.com/models/google/mobilenet-v2/TensorFlow2/130-224-classification/1\"\n\n# number of epochs for training\nnum_epochs = 20","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:19.311773Z","iopub.execute_input":"2024-07-16T11:09:19.31205Z","iopub.status.idle":"2024-07-16T11:09:19.316519Z","shell.execute_reply.started":"2024-07-16T11:09:19.312026Z","shell.execute_reply":"2024-07-16T11:09:19.315539Z"},"trusted":true},"execution_count":18,"outputs":[]},{"cell_type":"code","source":"# load a tensorboard for callbacks\n%load_ext tensorboard","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:19.317821Z","iopub.execute_input":"2024-07-16T11:09:19.318247Z","iopub.status.idle":"2024-07-16T11:09:19.33731Z","shell.execute_reply.started":"2024-07-16T11:09:19.318216Z","shell.execute_reply":"2024-07-16T11:09:19.336472Z"},"trusted":true},"execution_count":19,"outputs":[]},{"cell_type":"code","source":"# callbacks preparation\ndef create_tf_callback():\n    logdir = os.path.join('/kaggle/working/',\n                         datetime.datetime.now().strftime('%Y%m%d-%H%M%S'))\n    \n    return tf.keras.callbacks.TensorBoard(logdir)\n\n# early stopping for callbacks\nearly_stopping = tf.keras.callbacks.EarlyStopping(monitor='val_accuracy',\n                                            patience=3)","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:19.33825Z","iopub.execute_input":"2024-07-16T11:09:19.338481Z","iopub.status.idle":"2024-07-16T11:09:19.343472Z","shell.execute_reply.started":"2024-07-16T11:09:19.338461Z","shell.execute_reply":"2024-07-16T11:09:19.342598Z"},"trusted":true},"execution_count":20,"outputs":[]},{"cell_type":"code","source":"# a function for model creation\ndef create_model(input_shape=input_shape, output_shape=output_shape, model_url=model_url):\n    print('create a model with: ', model_url)\n    \n    # setup the model\n    model = tfk.Sequential([\n        hub.KerasLayer(model_url),\n                       tfk.layers.Dense(units=output_shape, activation='softmax')\n                       ])\n    \n    # compile the model\n    model.compile(\n        loss=tfk.losses.CategoricalCrossentropy(), \n        optimizer=tfk.optimizers.Adam(), \n        metrics=['accuracy'] \n    )\n    \n    # build the model\n    model.build(input_shape)\n    \n    return model","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:19.344489Z","iopub.execute_input":"2024-07-16T11:09:19.344744Z","iopub.status.idle":"2024-07-16T11:09:19.354313Z","shell.execute_reply.started":"2024-07-16T11:09:19.344723Z","shell.execute_reply":"2024-07-16T11:09:19.353571Z"},"trusted":true},"execution_count":21,"outputs":[]},{"cell_type":"code","source":"# build a function for train model\ndef train_model():\n    # model creation\n    model = create_model()\n    \n    # create a new tensorboard\n    tensorboard = create_tf_callback()\n    \n    # model training\n    model.fit(x=train_data, \n          epochs=num_epochs, \n          validation_data=valid_data, \n          validation_freq=1,\n          callbacks=[tensorboard, early_stopping]\n         )\n    return model","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:19.355254Z","iopub.execute_input":"2024-07-16T11:09:19.355501Z","iopub.status.idle":"2024-07-16T11:09:19.362511Z","shell.execute_reply.started":"2024-07-16T11:09:19.35548Z","shell.execute_reply":"2024-07-16T11:09:19.361682Z"},"trusted":true},"execution_count":22,"outputs":[]},{"cell_type":"code","source":"model = create_model()\nprint('\\nModel Summary:')\nmodel.summary()","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:19.363423Z","iopub.execute_input":"2024-07-16T11:09:19.363686Z","iopub.status.idle":"2024-07-16T11:09:28.796798Z","shell.execute_reply.started":"2024-07-16T11:09:19.363665Z","shell.execute_reply":"2024-07-16T11:09:28.796099Z"},"trusted":true},"execution_count":23,"outputs":[{"name":"stderr","text":"Attaching model 'google/mobilenet-v2/tensorflow2/130-224-classification/1' to your Kaggle notebook...\n","output_type":"stream"},{"name":"stdout","text":"create a model with:  https://kaggle.com/models/google/mobilenet-v2/TensorFlow2/130-224-classification/1\n\nModel Summary:\nModel: \"sequential\"\n_________________________________________________________________\n Layer (type)                Output Shape              Param #   \n=================================================================\n keras_layer (KerasLayer)    (None, 1001)              5432713   \n                                                                 \n dense (Dense)               (None, 120)               120240    \n                                                                 \n=================================================================\nTotal params: 5552953 (21.18 MB)\nTrainable params: 120240 (469.69 KB)\nNon-trainable params: 5432713 (20.72 MB)\n_________________________________________________________________\n","output_type":"stream"}]},{"cell_type":"markdown","source":"Predictions","metadata":{}},{"cell_type":"code","source":"y_pred = model.predict(valid_data)","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:28.797778Z","iopub.execute_input":"2024-07-16T11:09:28.798035Z","iopub.status.idle":"2024-07-16T11:09:41.571555Z","shell.execute_reply.started":"2024-07-16T11:09:28.798011Z","shell.execute_reply":"2024-07-16T11:09:41.570749Z"},"trusted":true},"execution_count":24,"outputs":[{"name":"stdout","text":"7/7 [==============================] - 13s 208ms/step\n","output_type":"stream"}]},{"cell_type":"code","source":"# function for encoding labels\ndef pred_labels(prediction_propabilities):\n    \n    return encoding_labels[np.argmax(prediction_propabilities)]","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:09:41.572666Z","iopub.execute_input":"2024-07-16T11:09:41.572972Z","iopub.status.idle":"2024-07-16T11:09:41.577403Z","shell.execute_reply.started":"2024-07-16T11:09:41.572945Z","shell.execute_reply":"2024-07-16T11:09:41.576459Z"},"trusted":true},"execution_count":25,"outputs":[]},{"cell_type":"code","source":"# check a random sample from validation dataset\nindex = random.randint(0, len(y_val))\nlabel = pred_labels(y_pred[index])\n\n# print(f'Is {label} predicted properly? Prediction: {pred_labels(y_val[index])}. So:  {label==pred_labels(y_val[index])}\\n')\nprint(f'The breed is {label}')\n\nImage(X_val[index])","metadata":{"execution":{"iopub.status.busy":"2024-07-16T11:15:23.23821Z","iopub.execute_input":"2024-07-16T11:15:23.238954Z","iopub.status.idle":"2024-07-16T11:15:23.24836Z","shell.execute_reply.started":"2024-07-16T11:15:23.238921Z","shell.execute_reply":"2024-07-16T11:15:23.247438Z"},"trusted":true},"execution_count":35,"outputs":[{"name":"stdout","text":"The breed is dingo\n","output_type":"stream"},{"execution_count":35,"output_type":"execute_result","data":{"image/jpeg":"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","text/plain":"<IPython.core.display.Image object>"},"metadata":{}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}