Here, we just extend keras.Model and initialize our WGAN with a generator, discriminator, and related parameters.
generator and discriminator are the models we defined earlier to use in our GAN.discriminator_steps and generator_steps represent the number of steps to train the discriminator and generator in each iteration.gp_weight is the weight assigned to the gradient penalty term.More to read
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