EECS 545 Course Project: Image Generation and Unsupervised Learning with Deep Convolutional Generative Adversarial Networks
python main.py -h
python main.py --mode train --dataset mnist
python main.py --mode train --dataset stl10
By the end of each epoch, a model checkpoint is saved to ./checkpoints
, and samples are saved to ./samples
python main.py --mode sample --dataset mnist --checkpoint /path/to/model --output results.png