This workshop had two instructors with two level.
The first part (basic) was taught by Mohammad Rahmdel:
- Basic Introduction to Generative Adversarial networks- GAN
- Implementation of the main article of Generative Adversarial networks from A to Z with tensorflow2 and step-by-step explanations.
- Learn to model with several different datasets and display outputs.
- Further explanations, tips and review of the training process (review of outputs, cost function, Convergence and ...)
- Preliminary review of other applications of Generative Adversarial Networks
and the second part (advance) was taught by Vahid Reza Khazaie:
- GAN
- DCGAN
- Context Encoders
- pix2pix
- CycleGAN
Thanks to Mohammad Rahmdel and Vahid Reza Khazaie.