PokémonGAN

A generative adversarial network that creates new Pokémon from a random noise vector.

Generated samples:

Training progress:

Creating dataset (optional)

• Raw images are located under the raw_dataset directory
• To create training_dataset, run python image_preprocessing.py

Training

• Open PokemonGAN.ipynb in Colab and follow instructions in the notebook.
• Root folder: My Drive/PokemonGAN
• Training samples generated by vis_noise.npy will save to PokemonGAN/training_samples.
• Weights will save to PokemonGAN/weights

Visualizing training

• Once training is complete, download the training_samples directory from your Drive
• Run python make_training_GIF.py