Generate Pokemon Using GAN - Generative Adversarial Network

Version 1.0.1 (167 MB) von Kevin Chng
Explore how to generate fake image using GAN in MATLAB
344 Downloads
Aktualisiert 16. Feb 2020

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

Zitieren als

Kevin Chng (2024). Generate Pokemon Using GAN - Generative Adversarial Network (https://github.com/KevinChngJY/reinforcementlearning_matlab_pokemon), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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Version Veröffentlicht Versionshinweise
1.0.1

Update description

1.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.