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Create the autoencoder model autoencoder = Model(input_img, decoded) # Compile the model autoencoder.compile(optimizer='adam', loss='binary_crossentropy') # Train the autoencoder autoencoder.fit(x_train, x_train, epochs=50, batch_size=256, shuffle=True, validation_data=(x_test, x_test)) # Use the