Playing with Wgans and Gans + Flexible Checkpoint Saver for Pytorch
Dataset - Color FERET
FERET database of facial images collected under the FERET program, sponsored by the DOD Counterdrug Technology Development Program Office
Main Objectives
- Understand gans and wgans.
- Obtain and create Dataloader for images of faces.
- Create wgan for creating faces.
- Create flexible Checkpoint Saver for pytorch.
- Compare dense layers with deconvolution layers.
- Create wgan for text.
- Visualize training f.ex loss, compare with other types of models.
- Compare Conditional improved WGAN which replace cliping gradient with penalty.
Requirements
- Python >= 3.6
- Pytorch >= 0.4
- Color Feret Dataset