autoencoder.fit(X_train, X_train, epochs=100, batch_size=256, shuffle=True)
autoencoder = Model(inputs=input_layer, outputs=decoder) autoencoder.compile(optimizer='adam', loss='binary_crossentropy')
# Extracting the encoder as the model for generating embeddings encoder_model = Model(inputs=input_layer, outputs=encoder)