Short Synopsis
In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Full Synopsis
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. 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.

"If you want to understand AI, you need to read The Deep Learning Revolution." -Erik Brynjolfsson, 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