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The Resource Deep learning and the game of Go, Max Pumperla and Kevin Ferguson

Deep learning and the game of Go, Max Pumperla and Kevin Ferguson

Label
Deep learning and the game of Go
Title
Deep learning and the game of Go
Statement of responsibility
Max Pumperla and Kevin Ferguson
Creator
Contributor
Author
Subject
Language
eng
Summary
The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! "Deep learning and the game of Go" introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios!
Cataloging source
YDX
http://library.link/vocab/creatorName
Pumperla, Max
Dewey number
006
Illustrations
illustrations
Index
index present
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
Ferguson, Kevin
http://library.link/vocab/subjectName
  • Machine learning
  • Reinforcement learning
  • Artificial intelligence
  • Go (Computer program language)
  • Neural networks (Computer science)
Label
Deep learning and the game of Go, Max Pumperla and Kevin Ferguson
Instantiates
Publication
Copyright
Note
Includes index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Part 1. Foundations. Toward deep learning : a machine-learning introduction -- Go as a machine-learning problem -- Implementing your first Go bot -- Part 2. Machine learning and game AI. Playing games with tree search -- Getting started with neural networks -- Designing a neural network for Go data -- Learning from data : a deep-learning bot -- Deploying bots in the wild -- Learning by practice : reinforcement learning -- Reinforcement learning with policy gradients -- Reinforcement learning with value methods -- Reinforcement learning with actor-critic methods -- Part 3. Greater than the sum of its parts. AlphaGo: bringing it all together -- AlphaGo Zero: integrating tree search with reinforcement learning
Control code
sky295507604
Dimensions
24 cm.
Extent
xxviii, 350 pages
Isbn
9781617295324
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Label
Deep learning and the game of Go, Max Pumperla and Kevin Ferguson
Publication
Copyright
Note
Includes index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Part 1. Foundations. Toward deep learning : a machine-learning introduction -- Go as a machine-learning problem -- Implementing your first Go bot -- Part 2. Machine learning and game AI. Playing games with tree search -- Getting started with neural networks -- Designing a neural network for Go data -- Learning from data : a deep-learning bot -- Deploying bots in the wild -- Learning by practice : reinforcement learning -- Reinforcement learning with policy gradients -- Reinforcement learning with value methods -- Reinforcement learning with actor-critic methods -- Part 3. Greater than the sum of its parts. AlphaGo: bringing it all together -- AlphaGo Zero: integrating tree search with reinforcement learning
Control code
sky295507604
Dimensions
24 cm.
Extent
xxviii, 350 pages
Isbn
9781617295324
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations

Library Locations

    • Jericho Public LibraryBorrow it
      1 Merry Lane, Jericho, NY, 11753, US
      40.793548 -73.535164
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