Introduction to Diffusion Models In ML

Introduction to the Course

Generative AI and its Role:

Transforming randomness into structured and realistic outputs.

Key technologies: Diffusion Models for converting chaos (noise) into order (images, data).

Course Goals:

Learn practical techniques and theoretical underpinnings.

Explore applications like image generation, text-to-image synthesis, and more.

Tools Required:

Python libraries such as PyTorch, Diffusers, and TensorFlow.

Essential frameworks for deep learning.

2. Generative Models Overview

Types:

VAEs, GANs, and Autoregressive Models.