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discriminator.compile(loss="binary_crossentropy", optimizer=Adam(), metrics=["accuracy"]) discriminator.trainable = False combined = Sequential([generator, discriminator]) combined.compile(loss="binary_crossentropy", optimizer=Adam()) In this example, we define the training procedure for the GAN.