This implements dcgan as described in this paper. It is slightly different from the implementation by soumith et al that the filter size in the first layer of generator is 1024 as described in the paper.
We train on the celebA dataset. The generator learns to output faces after few epochs. In fact, the results start to appear non-random early on. Below are the result after 5 epochs.
