Python Deep Learning Projects

Summary

In the project in this chapter, we have successfully built a deep convolution GAN in Keras on handwritten MNIST digits. We understood the function of the generator and the discriminator component of the GAN. We have defined some key hyperparameters, as well as, in some places, reasoned with why we used what we did. Finally, we tested the GAN's performance on unseen data and determined that we succeeded in achieving our goals.