Deep Convolutional GAN with PyTorch

Original paper: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

In a few words, DCGAN is very similar to vanilla GAN, but contains Convolutional layers, which is made more suitable for extracting important features from the pictures.

How to run this code?

You can simply run this with

python main.py

All settings and gyperparameters are stored in config.toml file