Explore the fascinating world of Generative Adversarial Networks (GANs) in this informative video featuring Rob Miles. Delve into the concept of artificial intelligence where neural networks compete against each other to generate novel content. Gain insights into the architecture of GANs, including discriminators and generators, and understand how adversarial training and gradient descent contribute to their functionality. Discover practical applications of GANs, such as generating cat and face pictures, and learn about the challenges and intricacies of working with latent space. Through clear explanations and examples, grasp the fundamental principles of neural networks and their role in this cutting-edge AI technology.
Overview
Syllabus
Intro
Neural Networks
Challenges
Example
How Neural Networks Work
Adversarial Training
Game Playing Example
GAN Architecture
Discriminators
Gradient Descent
Analogy
Latent Space
Cat Pictures
Face Pictures
Taught by
Computerphile
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