Coursera - Generative Adversarial Networks (GANs) Specialization

WHAT YOU WILL LEARN
Understand GAN components, build basic GANs using PyTorch and advanced DCGANs using convolutional layers, control your GAN and build conditional GAN
Compare generative models, use FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques
Use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation
SKILLS YOU WILL GAIN
Generator
Image-to-Image Translation
glossary of computer graphics
Discriminator
Generative Adversarial Networks
Controllable Generation
WGANsConditional Generation
Components of GANs
DCGANsBias in GANs
StyleGANs
Homepage
https://www.coursera.org/specializations/generative-adversarial-networks-gans