Course content
- Introduction
- DCGAN and WGAN
- cGAN – Pix2Pix and CycleGAN
- SRGAN and ESRGAN
- StyleGAN
- VQGAN + CLIP – text to image
- Other types of GANs
- Additional content 1: Artificial neural networks
- Additional content 2: Convolution neural networks
- Final remarks