- $49
Image Generation with GANs and Diffusion Models
- Course
- 27 Lessons
Learn the basics of Generative Adversarial Neural Networks. Dive deep into building GANs and Diffusion Models with TensorFlow 2. Master how to generate high quality images with modern GANs and Diffusion models. Going from beginner to solving real world problems efficiently!
Contents
Introduction to Image Generation
Welcome
General introduction
Course material
Link to Code
Variational Autoencoders
Understanding Variational Autoencoders
VAE training and Digit Generation
Latent Space Visualizations
DCGANs
How GANs work
The GAN loss
Improving GAN training
Face Generation with GANs
Stable GAN training with WGANs
Understanding WGANs
Improved Training of Wasserstein GANs
WGANs in practice
High quality face generation with ProGan
Understanding ProGANs
ProGANs in practice
Image super resolution with SRGan
Understanding SRGANs
SRGan in practice
Face mask removal with CycleGAN
Understanding Cyclegans
Building CycleGANs
Training and Testing Cyclegan for mask removal
Image generation with Diffusion Models
Understanding Diffusion Models
Building the Unet Model
Timestep embeddings
Integrating the attention module
Model training
Sampling