The Deep Learning Revolution

By: Terrence J. Sejnowski

Narrated by: Shawn Compton

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.

©2018 Massachusetts Institute of Technology (P)2019 Tantor

Critic reviews

"If you want to understand AI, you need to read The Deep Learning Revolution." (Erik Brynjolfsson, coauthor of The Second Machine Age)

Interesting.

Interesting how easy the author explain d
Deep Learning, the beginning, the present and maybe the future of it.

magnificent learnings

wonderful read. breath taking fulfilling.
a must read. mix of compsci and biology with physics

Outstanding Account on the Field of Deep Learning!

Excellent book! For additional insights and fresh perspectives, but definitely a must, read/listen to The Syntellect Hypothesis: Five Paradigms of the Mind's Evolution by futurist and evolutionary cyberneticist Alex M. Vikoulov.

Great book

Exposed me to plenty of learning resources, and chiefly taught me about the new advances in Machine Learning, and I was glad to hear how it all connects to biology, neuroscience. That basically, learning one field or use-case of AI/ML will make me a better developer for Bioinformatics and longevity for example.

Few needles in haystack.

Provides some perspective on Deep Neural Networks impact. But interesting take aways moments are very less for time we spend. Also - there is no pattern in how chapters (or even sections within a chapter) are written. One sentence is about an incident in 1976, next would be about 1953 & possible describing different technology, the next would be 1996 incident.