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1
Intro
2
Neural Networks
3
Challenges
4
Example
5
How Neural Networks Work
6
Adversarial Training
7
Game Playing Example
8
GAN Architecture
9
Discriminators
10
Gradient Descent
11
Analogy
12
Latent Space
13
Cat Pictures
14
Face Pictures
Description:
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.

Generative Adversarial Networks - Computerphile

Computerphile
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