The Deep Learning Revolution, Terrence J. Sejnowski
The Deep Learning Revolution, Terrence J. Sejnowski
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The Deep Learning Revolution

Author: Terrence J. Sejnowski

Narrator: Shawn Compton

Unabridged: 8 hr 5 min

Format: Digital Audiobook Download

Publisher: Tantor Media

Published: 01/29/2019


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.

About Terrence J. Sejnowski

Terrence J. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for the Obama administration's BRAIN initiative and is President of the Neural Information Processing (NIPS) Foundation. He has published twelve books, including (with Patricia Churchland) The Computational Brain.


Reviews

Goodreads review by Matthew on April 04, 2019

I disagree with the other reviews that state this is purely a 'memoir.' It is more than that. Terry describes the evolution of neural networks and the personalities that helped the field along the way. He was a part of it, hence the 'memior' theme, but goes beyond his own contributions and neatly out......more

Goodreads review by William on December 30, 2018

This book is not about deep learning. You'll learn more about how the eye works than anything else.. was interesting, just not really even remotely what I was expecting given the title.........more

Goodreads review by Carsten on October 20, 2018

4.5/5. Good book with many historical details. The author is clearly at the forefront of research and I liked that he gives references (up to 2017). But I wish there would be more details in places. I am aware that this book is not a textbook but I wish the Sejnowski would provide more technical det......more

Goodreads review by PetitShya™ on May 13, 2020

这大佬前面也只是顺带介绍深度学习领域的基础算法和脉络就已经很深奥了,差点就读不下去了(当然有人认为科普著作写这些也没有必要),但是中间有介绍很多你之前从未了解过的人(包括很多女性,例如天才物理学少女 Misha Mahowald,她19岁就创造了世界上第一个硅视网膜。)这些人极具智识,你可能大致会感觉到世界很复杂,但真正看到复杂系统的诞生的时候,你仍然会惊异这种顶级智慧高度集中的领域,并且感叹智力上限(和下限一样)是没有边界的。......more

Goodreads review by Allan on April 07, 2022

This is a review of the developments in machine learning based around neural networks mostly since the 1980s, but with some look back at earlier developments. Even within that domain I expect he focuses on particular subsections. The account starts with some recent achievements of machine learning s......more