Generative Adversarial Networks and Stable Diffusion

Explore the world of Generative Adversarial Networks (GANs) and Stable Diffusion in this 44-minute talk from the Women in ML Symposium 2022. Dive into the fundamentals of GANs, including the roles of generators and discriminators, neural networks, and deep convolutional GANs. Learn about convolutional computation, TensorFlow Keras, and transposed convolution. Discover the training loop process and generator loss. Walk through code examples and understand Stable Diffusion implementation with KaraCV. Gain insights into performance results and access valuable resources for further learning. Create amazing art within seconds using text-to-image models and generate custom images with just a few lines of Python code.

Introduction
What are GANs
Generator vs Discriminator
Neural Networks
Deep convolutional Gans
Convolutional computation
Tensorflow Keras
Transposed Convolution
Training Loop
Generator Loss
Code Walkthrough
Stable Diffusion
Stable Diffusion with KaraCV
Performance Results
Code
Code Example
Questions
Resources