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
Citar como
Kevin Chng (2024). Generate Pokemon Using GAN - Generative Adversarial Network (https://github.com/KevinChngJY/reinforcementlearning_matlab_pokemon), GitHub. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
Etiquetas
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.
No se pueden descargar versiones que utilicen la rama predeterminada de GitHub
Versión | Publicado | Notas de la versión | |
---|---|---|---|
1.0.1 | Update description |
|
|
1.0.0 |
|