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Deep Learning Revolution [Kõva köide]

3.74/5 (1051 hinnangut Goodreads-ist)
(Salk Institute for Biological Studies)
  • Formaat: Hardback, 352 pages, kõrgus x laius x paksus: 229x152x24 mm, 88 color illus., 47 b&w illus.; 135 Illustrations
  • Sari: The MIT Press
  • Ilmumisaeg: 23-Oct-2018
  • Kirjastus: MIT Press
  • ISBN-10: 026203803X
  • ISBN-13: 9780262038034
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  • Formaat: Hardback, 352 pages, kõrgus x laius x paksus: 229x152x24 mm, 88 color illus., 47 b&w illus.; 135 Illustrations
  • Sari: The MIT Press
  • Ilmumisaeg: 23-Oct-2018
  • Kirjastus: MIT Press
  • ISBN-10: 026203803X
  • ISBN-13: 9780262038034
Teised raamatud teemal:
An analysis of the rise of such technologies as Google Translate and driverless cars by a presidential advisor and co-author of The Computational Brain examines how deep learning has transitioned from an arcane field to a disruptive technology. How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy.The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future. How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy.

Arvustused

The Deep Learning Revolution is an important and timely book, written by a gifted scientist at the cutting edge of the AI revolution.

Nature If you're serious about deep learning, as either a researcher, practitioner or student, you should definitely consider consuming this book.

InsideBigData

Preface ix
Part I Intelligence Reimagined
1(78)
1 The Rise of Machine Learning
3(24)
2 The Rebirth of Artificial Intelligence
27(10)
3 The Dawn of Neural Networks
37(12)
4 Brain-style Computing
49(14)
5 Insights from the Visual System
63(16)
Part II Many Ways to Learn
79(90)
6 The Cocktail Party Problem
81(10)
7 The Hopfield Net and Boltzmann Machine
91(18)
8 Backpropagating Errors
109(18)
9 Convolutional Learning
127(16)
10 Reward Learning
143(18)
11 Neural Information Processing Systems
161(8)
Part III Technological and Scientific Impact
169(100)
12 The Future of Machine Learning
171(24)
13 The Age of Algorithms
195(10)
14 Hello, Mr. Chips
205(14)
15 Inside Information
219(14)
16 Consciousness
233(12)
17 Nature Is Cleverer Than We Are
245(16)
18 Deep Intelligence
261(8)
Acknowledgments 269(6)
Recommended Reading 275(6)
Glossary 281(4)
Notes 285(36)
Index 321
Terrence J. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for the Obama administration's BRAIN initiative and is President of the Neural Information Processing (NIPS) Foundation. He is the author of The Deep Learning Revolution (MIT Press) and other books.