The Deep Learning Revolution
$54.34
- Paperback
352 pages
- Release Date
17 February 2026
Summary
The deep learning revolution has brought us driverless cars, 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 …
Book Details
| ISBN-13: | 9780262544993 |
|---|---|
| ISBN-10: | 0262544997 |
| Author: | Terrence J. Sejnowski |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Paperback |
| Number of Pages: | 352 |
| Release Date: | 17 February 2026 |
| Weight: | 369g |
| Dimensions: | 152mm x 229mm |
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Critics Review
“Sejnowski’s book is part history lesson, part textbook and part memoir, with varying levels of accessibility. Those with an existing interest in the topic will be charmed and enlightened.”
—The Washington Post
“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
“Sejnowski, a pioneer in the study of learning algorithms, is the author of The Deep Learning Revolution. He argues that the hype about killer AI or robots making us obsolete ignores exciting possibilities happening in the fields of computer science and neuroscience, and what can happen when artificial intelligence meets human intelligence.”
—The Verge
Terrence J. Sejnowski
Terrence J. Sejnowski is Francis Crick Chair at The Salk Institute for Biological Studies and Distinguished Professor at the University of California at San Diego. He has published over 500 scientific papers and 12 books, including The Computational Brain with Patricia Churchland. He was instrumental in shaping the BRAIN Initiative that was announced by the White House in 2013, and he received the prestigious Gruber Prize in Neuroscience in 2022.
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