This repo provides explanations with references for loss function used in different types of GAN which is a critical part of neural network for its progress.
Also it provides end to end explanation for entire code
Contents
| S.NO | Topic Name | Usage | Link |
|---|---|---|---|
| 1 | Warm_up | contains basic codes to caculate loss function in pytorch and basic python | here |
| 2 | GAN | ||
| 3 | DC GAN | ||
| 4 | Vanilla GAN | Generate Handwritten Digits | |
| 5 | Conditional GAN | Generate Specific Digits | |
| 6 | Progressive GAN | HUman faces with progressive GAN | |
| 7 | Artistic Style Transfer GAN | ||
| 8 | Couples GAN | ||
| 9 | Super Resolution GAN | ||
| 10 | Pix2Pix GAN | ||
| 11 | Cycle GAN | ||
| 12 | Vid2Vid GAN |
Results
WarmUp
- python neural network
- pytorch neural network
Credits: