Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play - Brossura

Foster, David

 
9781492041948: Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play
Brossura
ISBN 10: 1492041947 ISBN 13: 9781492041948
Casa editrice: O'Reilly Media, 2019

Sinossi

Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders, generative adversarial networks (GANs), encoder-decoder models, and world models.

Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative.

  • Discover how variational autoencoders can change facial expressions in photos
  • Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation
  • Create recurrent generative models for text generation and learn how to improve the models using attention
  • Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting
  • Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sugli autori

David Foster is the co-founder of Applied Data Science, a data science consultancy delivering bespoke solutions for clients. He holds an MA in Mathematics from Trinity College, Cambridge, UK and an MSc in Operational Research from the University of Warwick.

David has won several international machine learning competitions, including the Innocentive Predicting Product Purchase challenge and was awarded first prize for a visualisation that enables a pharmaceutical company in the US to optimize site selection for clinical trials.

He is an active participant in the online data science community and has authored several successful blog posts on deep reinforcement learning including ‘How To Build Your Own AlphaZero AI’.



David Foster is the co-founder of Applied Data Science, a data science consultancy delivering bespoke solutions for clients. He holds an MA in Mathematics from Trinity College, Cambridge, UK and an MSc in Operational Research from the University of Warwick.

David has won several international machine learning competitions, including the Innocentive Predicting Product Purchase challenge and was awarded first prize for a visualisation that enables a pharmaceutical company in the US to optimize site selection for clinical trials.

He is an active participant in the online data science community and has authored several successful blog posts on deep reinforcement learning including 'How To Build Your Own AlphaZero AI'.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
O'Reilly Media
Data di pubblicazione
2019
Lingua
Inglese
ISBN 10 
1492041947
ISBN 13 
9781492041948
Rilegatura
Copertina flessibile
Numero di pagine
330
Contatto del produttore
non disponibile
Persona responsabile
non disponibile