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Generative Deep Learning - 2nd Edition by David Foster (Paperback)

Generative Deep Learning - 2nd Edition by  David Foster (Paperback) - 1 of 1
$49.87 sale price when purchased online
$79.99 list price
Target Online store #3991

About this item

Highlights

  • Generative AI is the hottest topic in tech.
  • Author(s): David Foster
  • 453 Pages
  • Computers + Internet, Computer Vision & Pattern Recognition

Description



About the Book



"This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), transformers, normalizing flows, energy-based models, and denoising diffusion models ... [and] also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage"--



Book Synopsis



Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative.

  • Discover how VAEs can change facial expressions in photos
  • Train GANs to generate images based on your own dataset
  • Build diffusion models to produce new varieties of flowers
  • Train your own GPT for text generation
  • Learn how large language models like ChatGPT are trained
  • Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN
  • Compose polyphonic music using Transformers and MuseGAN
  • Understand how generative world models can solve reinforcement learning tasks
  • Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion

This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.

Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .92 Inches (D)
Weight: 1.59 Pounds
Suggested Age: 22 Years and Up
Sub-Genre: Computer Vision & Pattern Recognition
Genre: Computers + Internet
Number of Pages: 453
Publisher: O'Reilly Media
Format: Paperback
Author: David Foster
Language: English
Street Date: June 6, 2023
TCIN: 87566947
UPC: 9781098134181
Item Number (DPCI): 247-22-5503
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.92 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1.59 pounds
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