Machine Learning, Data Science, Artificial Intelligence, Towards Data Science, Deep Learning.
relatively simple. First, we update the discriminator, and then we update the generator, and then we iterate between these two scenarios. Now, due to our smart use of functions, we can run the model in two lines. generator, discriminator, gan = construct_models(verbose=True) run_training() The only