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# Compile model model.compile(optimizer='adam', loss='mean_squared_error') 123mkv Hollywood In Hindi Better - 3.79.94.248
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# Simple model for demonstration model = keras.Sequential([ keras.layers.Conv2D(32, (3,3), activation='relu', input_shape=(256, 256, 3)), keras.layers.MaxPooling2D((2, 2)), keras.layers.Flatten(), keras.layers.Dense(128, activation='relu'), keras.layers.Dense(3) ])