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.

"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

• Table of ContentsTitle pageCopyright pageDedicationPrefaceI Intelligence Reimagined1 The Rise of Machine Learning2 The Rebirth of Artificial Intelligence3 The Dawn of Neural Networks4 Brain-style Computing5 Insights from the Visual SystemII Many Ways to Learn6 The Cocktail Party Problem7 The Hopfield Net and Boltzmann Machine8 Backpropagating Errors9 Convolutional Learning10 Reward Learning11 Neural Information Processing SystemsIII Technological and Scientific Impact12 The Future of Machine Learning13 The Age of Algorithms14 Hello, Mr. Chips15 Inside Information16 Consciousness17 Nature Is Cleverer Than We Are18 Deep IntelligenceAcknowledgmentsRecommended ReadingGlossary Index

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.

"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

• Table of ContentsTitle pageCopyright pageDedicationPrefaceI Intelligence Reimagined1 The Rise of Machine Learning2 The Rebirth of Artificial Intelligence3 The Dawn of Neural Networks4 Brain-style Computing5 Insights from the Visual SystemII Many Ways to Learn6 The Cocktail Party Problem7 The Hopfield Net and Boltzmann Machine8 Backpropagating Errors9 Convolutional Learning10 Reward Learning11 Neural Information Processing SystemsIII Technological and Scientific Impact12 The Future of Machine Learning13 The Age of Algorithms14 Hello, Mr. Chips15 Inside Information16 Consciousness17 Nature Is Cleverer Than We Are18 Deep IntelligenceAcknowledgmentsRecommended ReadingGlossary Index