Generate Pokemon Using GAN - Generative Adversarial Network
Generate Pokemon Using GAN (Generative Adversarial Network) in MATLAB.
The credit for the code go to moxiegushi (google this name with pokemon GAN). Or you may google Siraj Raval - Generating pokemon with GAN in youtube. They are using Python for the training,however, for latest version of MATLAB R2019b, GAN is officially supported in MATLAB.
With 1xK80 GPU virtual machine in azure, it took around 8 hours to complete 2800 epochs with 128 mini batch size and ADAM optimizer.
Now i got the new pokemon. This is also how you generate fake images when you don't have enough data.
Highlights :
Image Datastore and Image Augmentation
Structure Reinforcement Neural Network (Generator & Discriminator)
Workflow for Reinforcement Learning
Product Focus :
MATLAB
Deep Learning Toolbox
Reinforcement Learning Toolbox
引用格式
Kevin Chng (2024). Generate Pokemon Using GAN - Generative Adversarial Network (https://github.com/KevinChngJY/reinforcementlearning_matlab_pokemon), GitHub. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
- Gaming > Video games >
- AI, Data Science, and Statistics > Deep Learning Toolbox > Image Data Workflows >
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!无法下载基于 GitHub 默认分支的版本
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.1 | Update description |
|
|
1.0.0 |
|