In the provided code, why is discriminator.trainable set to False when setting up the combined system?To prevent overfittingTo make sure only the generator is trained in this stepNone of the given optionsTo increase discriminator's accuracyTo speed up training
Question
In the provided code, why is discriminator.trainable set to False when setting up the combined system?To prevent overfittingTo make sure only the generator is trained in this stepNone of the given optionsTo increase discriminator's accuracyTo speed up training
Solution
In the combined system setup, discriminator.trainable is set to False to ensure that only the generator is trained during this step. This is because, in the context of a Generative Adversarial Network (GAN), we want the generator to learn to create data that can fool the discriminator. If we were to train the discriminator at the same time, it could potentially lead to the discriminator always winning the 'game' against the generator, which would prevent the generator from improving. Therefore, we freeze the discriminator's weights while training the generator to ensure that the generator has a chance to learn and improve.
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