Created
June 17, 2022 15:06
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V3 of the model
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| inputs = keras.Input(shape=(8, 8, 512)) | |
| x = layers.Flatten()(inputs) | |
| x = layers.Dense(256)(x) | |
| x = layers.Dropout(0.5)(x) | |
| outputs = layers.Dense(1, activation= keras.activations.sigmoid)(x) | |
| model = keras.Model(inputs, outputs) | |
| model.compile(optimizer=keras.optimizers.RMSprop(), | |
| loss=keras.losses.BinaryCrossentropy(), | |
| metrics=["accuracy"]) | |
| callbacks = [ | |
| keras.callbacks.ModelCheckpoint( | |
| filepath=f"{hotDogDir}hotdog_classifier_v3.keras", | |
| save_best_only=True, | |
| monitor="val_loss" | |
| ) | |
| ] | |
| history = model.fit( | |
| train_features, | |
| train_labels, | |
| epochs=20, | |
| validation_data=(val_features, val_labels), | |
| callbacks=callbacks | |
| ) |
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