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1
Introduction
2
What are GANs
3
Generator vs Discriminator
4
Neural Networks
5
Deep convolutional Gans
6
Convolutional computation
7
Tensorflow Keras
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Transposed Convolution
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Training Loop
10
Generator Loss
11
Code Walkthrough
12
Stable Diffusion
13
Stable Diffusion with KaraCV
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Performance Results
15
Code
16
Code Example
17
Questions
18
Resources
Description:
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.

Generative Adversarial Networks and Stable Diffusion

TensorFlow
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