StableGAN-Tensorflow

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StableGAN-Tensorflow

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Simple Tensorflow implementation of "Stabilizing Adversarial Nets With Prediction Methods" (ICLR 2018)

StableGAN-Tensorflow 최신버젼 다운로드

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# StableGAN-Tensorflow
Simple Tensorflow implementation of Stabilizing Adversarial Nets With Prediction Methods (ICLR 2018)

## Summary
![summary](https://raw.githubusercontent.com/taki0112/StableGAN-Tensorflow/master/assests/summary.png)

## Usage
```python

from Adam_prediction import Adam_Prediction_Optimizer
G_op = Adam_Prediction_Optimizer(learning_rate=0.001, beta1=0.9, beta2=0.999, prediction=True)
D_op = Adam_Prediction_Optimizer(learning_rate=0.001, beta1=0.9, beta2=0.999, prediction=False)

```

## Result
### Inception score (SNDCGAN - 100K iteration, Max value)
![100k](https://raw.githubusercontent.com/taki0112/StableGAN-Tensorflow/master/assests/inception_100k.png)

### Inception score (SNDCGAN - 200K iteration, Max value)
![200k](https://raw.githubusercontent.com/taki0112/StableGAN-Tensorflow/master/assests/inception_200k.png)

### Comparison with Average inception score for 0 ~ 200K iteration
* adam : 7.12
* adam-prediction : 7.17

## Related works
* [Spectral Normalization-Tensorflow](https://github.com/taki0112/Spectral_Normalization-Tensorflow)

## Author
Junho Kim

StableGAN-Tensorflow

StableGAN-Tensorflow 최신버젼 다운로드

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