The Generative Adversarial Model, or GAN, is at the heart of adversarial training architecture. In fact, this model is different only in the fact that we use custom loss functions in our compile step. Let's take a look at how it's implemented.
The Generative Adversarial Model, or GAN, is at the heart of adversarial training architecture. In fact, this model is different only in the fact that we use custom loss functions in our compile step. Let's take a look at how it's implemented.
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