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
Call Number:Libro Electrónico
Format: Electronic Video
Language:Inglés
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:Texto completo (Requiere registro previo con correo institucional)
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

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