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

MRP: Rs.1,150.00
Price in points: 1150 points
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All Indian Reprints of O'Reilly are printed in Grayscale.

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

Books

Author:
David Foster
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
Usually ships in 8-10 days
Leadtime to ship in days(if not in stock):
Usually ships in 12-15 days
Pages:
332
Publisher:
Shroff/O'Reilly
Year:
2019

Dimensions

Dimensions (W x H x D):
7 x 9 x .65 inch