The deep learning revolution:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge, Massachusetts ; London, England
The MIT Press
[2018]
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Physical Description: | x, 342 Seiten Illustrationen, Diagramme |
| ISBN: | 9780262038034 |
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Record in the Search Index
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Contents
Preface \x
Part i: intelligence Resmagined 1
1 The Rise of Machine Learning 3
2 The Rebirth of Artificial Intelligence 27
3 The Dawn of Neural Networks 37
4 Brain-style Computing 49
5 Insights from the Visual System 63
Part SI: Many Ways to Learn 79
6 The Cocktail Party Problem 81
7 The Hopfield Net and Boltzmann Machine 91
8 Backpropagating Errors 109
9 Convolutional Learning 127
10 Reward Learning 143
11 Neural Information Processing Systems 161
Part Ml: Technological and Scientific Impact 169
12 The Future of Machine Learning 171
13 The Age of Algorithms 195
14 Hello, Mr. Chips 205
15 Inside Information 219
16 Consciousness 233
17 Nature Is Cleverer Than We Are 245
18 Deep Intelligence 261
vlii
Contents
Acknowledgments 269
Recommended Reading 275
Glossary 281
Notes 285
Index 321
THE
DEEP
LEARNING
REVOLUTION
TERRENCE J. SEJNOWSKI
The deep learning revolution has brought us driv-
erless cars, the greatly improved Google Translate,
fluent conversations with Siri and Alexa, and enor-
mous profits from automated trading on the New
Vork 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 pre-
vailing logic-and-symbol-based version of Al. The
new version of Al 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; in-
formation can be used to create knowledge; knowl-
edge 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; Al is on a tra-
jectory measured in decades. Sejnowski prepares
us for a deep learning future.
Terrence J. Sejnowski holds the Francis Crick
Chair at the Salk Institute for Biological Studies
and is Distinguished Professor at the University
of California, San Diego. He was a member of
the advisory committee for the Obama admin-
istration's Brain Research through Advancing
Innovative Neurotechnologies (BRAIN) initia-
tive and is President of the Neural Information
Processing Systems (NIPS) Foundation. He has
published twelve books, including (with Patricia
Churchland) The Comjoutatione! Brein (25th an-
niversary edition, MIT Press). |
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| author | Sejnowski, Terrence J. 1947- |
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| discipline | Informatik Philosophie |
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| isbn | 9780262038034 |
| language | English |
| lccn | 017044863 |
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| spelling | Sejnowski, Terrence J. 1947- (DE-588)1061879550 aut The deep learning revolution Terrence J. Sejnowski Cambridge, Massachusetts ; London, England The MIT Press [2018] © 2018 x, 342 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Machine learning Big data Artificial intelligence Social aspects Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Deep Learning (DE-588)1135597375 gnd rswk-swf Deep Learning (DE-588)1135597375 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Erscheint auch als Online-Ausgabe 978-0-262-34682-5 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030187825&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030187825&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Sejnowski, Terrence J. 1947- The deep learning revolution Machine learning Big data Artificial intelligence Social aspects Künstliche Intelligenz (DE-588)4033447-8 gnd Deep Learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)1135597375 |
| title | The deep learning revolution |
| title_auth | The deep learning revolution |
| title_exact_search | The deep learning revolution |
| title_full | The deep learning revolution Terrence J. Sejnowski |
| title_fullStr | The deep learning revolution Terrence J. Sejnowski |
| title_full_unstemmed | The deep learning revolution Terrence J. Sejnowski |
| title_short | The deep learning revolution |
| title_sort | the deep learning revolution |
| topic | Machine learning Big data Artificial intelligence Social aspects Künstliche Intelligenz (DE-588)4033447-8 gnd Deep Learning (DE-588)1135597375 gnd |
| topic_facet | Machine learning Big data Artificial intelligence Social aspects Künstliche Intelligenz Deep Learning |
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