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.
AI is now awakening and transforming our world. Driving these breakthroughs is the deep learning revolution, with roots in thirty years of work by pioneers like Terry Sejnowski. If you want to understand AI, you need to read The Deep Learning Revolution.
Erik Brynjolfsson, Schussel Family Professor of Management Science at MIT Sloan School of Management coauthor of The Second Machine Age
This is a fabulous, must-read book that makes a very complex subject come alive in a way that is understandable to all. It weaves together the worlds of neural networks and neuroscience, using the power of storytelling to explain the past, present and possible futures of artificial intelligence.
Dame Wendy Hall, Regius Professor of Computer Science, University of Southampton, UK
Terry Sejnowski, one of the pioneers of deep learning, has now moved this important insight from a theoretical proposition to an empirical science. A major advance.
Eric Kandel, Fred Kavli Professor, Department of Neuroscience, and Director, Kavli Institute for Brain Science, Columbia University, author of Reductionism in Art and Brain Science: Bridging the Two Cultures
Sejnowski's intimate tour of the history and people who have led the deep learning revolution offers insights and anecdotes on every page. The Sturm und Drang of the story permeates the book as you partake of the author's personal involvement and excitement.
Vint Cerf, internet pioneer
The Deep Learning Revolution is an important and timely book, written by a gifted scientist at the cutting edge of the AI revolution.
If you're serious about deep learning, as either a researcher, practitioner or student, you should definitely consider consuming this book.