Playing with GANs : building, coding, and modifying deep learning GAN models.

Edward explains what are Generative Adversarial Networks (GANs) and demonstrates how to play with GANs by modifying a GAN implementation for new tasks and losses. He's the author of Inside Deep Learning: Math, Algorithms, Models.

Bibliographic Details
Format:	Video
Language:	English
Published:	[Place of publication not identified] : Manning Publications, 2021.
Edition:	[First edition].
Subjects:	Machine learning. Neural networks (Computer science) Artificial intelligence. Neural Networks, Computer Artificial Intelligence Apprentissage automatique. Réseaux neuronaux (Informatique) Intelligence artificielle. artificial intelligence. Webcast Instructional films. Internet videos. Nonfiction films. Films de formation. Films autres que de fiction. Vidéos sur Internet.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	Edward explains what are Generative Adversarial Networks (GANs) and demonstrates how to play with GANs by modifying a GAN implementation for new tasks and losses. He's the author of Inside Deep Learning: Math, Algorithms, Models.
Physical Description:	1 online resource (1 video file (1 min.)) : sound, color.
Playing Time:	00:01:00