optimizer = tf.keras.optimizers.Adam() # Define your loss function (e.g., Mean Squared Error) mse_loss_fn = tf.keras.losses.MeanSquaredError() # Compile the model cvae_model.compile(optimizer=optimizer, loss=mse_loss_fn) # Train the model cvae_model.fit([data, clusters], data, epochs=10, batch_size=32)
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