Generative Adversarial Networks Workshop

AAISS2020

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.