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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of
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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning Paperback - 2019

by James V. Stone

In this richly illustrated book, key neural network learning algorithms are explained informally first, followed by detailed mathematical analyses. Topics include both historically important neural networks (e.g. perceptrons), and modern deep neural networks (e.g. generative adversarial networks).

Details

  • Title Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
  • Author James V. Stone
  • Binding Paperback
  • Pages 218
  • Volumes 1
  • Language ENG
  • Publisher Sebtel Press
  • Date 2019-04-01
  • Illustrated Yes
  • Features Glossary, Illustrated
  • ISBN 9780956372819 / 0956372813
  • Weight 0.66 lbs (0.30 kg)
  • Dimensions 9 x 6 x 0.46 in (22.86 x 15.24 x 1.17 cm)

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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning

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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning

by Stone, James V

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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning

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Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning

by Stone, James V

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