Name		Name	Last commit message	Last commit date
parent directory ..
adagan_model.py		adagan_model.py
adagan_train.py		adagan_train.py
readme.md		readme.md

readme.md

Boosting Generative Adversarial Models

Loss Function

used GAN loss at D/G nets.

Architecture Networks

Same with the AdaGAN paper.

DIFFS	AdaGAN Paper	ME
image size	`128`	`64`
loss	`hinge loss`	`GAN loss`

Tensorboard Result

Elapsed Time : s with GTX 1060 6GB x 1

Result

Name	Global Step 10k	Global Step 25k	Global Step 50k
AdaGAN

To-Do

Hard to understand boosting meta-algorithm ;) as undergraduate