A basic implementation of Auxiliary Classifier Generative Adversarial Network (ACGAN) in Torch7 on the MNIST dataset by Odena et al.
##Basic Requirements: Torch
CuDNN (not required but recommended)
th main.lua
To train on gpu:
th main.lua --gpu=1
Sample images will be stored in samples
directory. Both the generator and the discriminator models are
saved in the checkpoints
folder after each epoch.