Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
return total_loss def encoder(kernel, filter, rows, columns, channel): X = Input(shape=(rows, columns, channel)) model = Conv2D(filters=filter, kernel_size=kernel, strides=2, padding='same')(X) model = BatchNormalization(epsilon=1e-5)(model) model = LeakyReLU(alpha=0.2)(model) model =