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reconstruction_loss + self.penalty_lambda * contractive_penalty # Define the autoencoder autoencoder = tf.keras.Sequential([encoder, decoder]) # Compile the autoencoder autoencoder.compile(optimizer='adam', loss=ContractiveAutoencoderLoss(penalty_lambda=1e-4)) # Train the autoencoder