These are the exercise files used for NICF - Computational Modeling with Generative Adversarial Network (GAN) course.
The course outline can be found in
https://www.tertiarycourses.com.sg/wsq-generative-adversarial-network-gan-course.html
Topic 1 Introduction to Generative Adversarial Network (GAN)
- Overview of Generative Adversarial Network (GAN)
- Basic GAN Framework
Topic 2 DCGAN, WGAN & Conditional GAN
- Deep Convolutional GAN (DCGAN)
- Wasserstein GAN (WGAAN)
- Conditional GAN (CGAN)
Topic 3 Variational Autoencoders (VAEs)
- Autoencoders
- Variational Autoencoders (VAEs)
Topic 4 Introduction to GAN Algorithms
- Image to Image Translation (Pix2Pix) GAN
- Cycle GAN, Disco GAN, Dual GAN
Topic 5 Applications of GAN
- Super Resolution GAN (SRGAN)
- Style Transfer GAN (StyleGAN)
- Photo Editing Using GAN
Topic 6 GAN Evaluation and Guidelines
- Likelihood and Quality of GAN
- Objective Evaluation
- Mode Dropping
Mode of Assessment
- Written Assessment(Q&A)
- Practical Performance