README.md
December 9, 2016 · View on GitHub
Auxiliary Deep Generative Models
Chainer implementation of the papers:
- Auxiliary Deep Generative Models
- Improving Stochastic Gradient Descent with Feedback
- Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
- Categorical Reparameterization with Gumbel-Softmax
この記事で実装したコードです。
See also:
Requirements
- Chainer 1.17
- Pylab
- pandas
this code contains following repos:
Runnning
ADGM
run train_adgm/train.py
SDGM
run train_sdgm/train.py
Validation Accuracy
Analogies
ADGM
SDGM
