Name		Name	Last commit message	Last commit date
parent directory ..
gen_img		gen_img
model		model
adamax.py		adamax.py
magan_model.py		magan_model.py
magan_tb.png		magan_tb.png
magan_train.py		magan_train.py
readme.md		readme.md

readme.md

Margin Adaptation Generative Adversarial Networks

Loss Function

used mse loss at D/G nets.

Architecture Networks

Same as MAGAN paper.

DIFFS	MAGAN Paper	ME
Weight initializer	`normal dist`	`HE initializer`
z noise (MNIST)	`50`
z noise (cifar-10)	`320`

HE Initializer parameters : (factor = 1, FAN_AVG, uniform)

Tensorboard

Elapsed Time : 5h 45m 51s with GTX 1060 6GB x 1

Result

Name	Global Step 25k	Global Step 50k	Global Step 75k
MAGAN

Initial pre-trained margin value : about 3.0585415484215974

To-Do