GAN implementation trained on MNIST dataset to generate hadwritten digits.
A simple GAN trained on MNIST dataset to generate B/W handwritten digits. Both the Discriminator (C2 - C4 - C8), and the Generator (C32 - C16 - C8) are simple CNNs. The Generator latent space is 64 dimensional.
Same network implemented using Tensorflow.