Generate Pokemon Using GAN - Generative Adversarial Network
Updated 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.
Image Datastore and Image Augmentation
Structure Reinforcement Neural Network (Generator & Discriminator)
Workflow for Reinforcement Learning
Product Focus :
Deep Learning Toolbox
Reinforcement Learning Toolbox
Kevin Chng (2023). Generate Pokemon Using GAN - Generative Adversarial Network (https://github.com/KevinChngJY/reinforcementlearning_matlab_pokemon), GitHub. Retrieved .
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Platform CompatibilityWindows macOS Linux
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