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Deep Learning

MIT Press Essential Knowledge Series
Written by: John D. Kelleher
Narrated by: Joel Richards
Length: 5 hrs and 49 mins
Categories: Science & Math, Technology

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Publisher's Summary

Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. 

Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning-major trends, possible developments, and significant challenges.

©2019 Massachusetts Institute of Technology (P)2019 Gildan Media

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  • Elliot Blanford
  • 27-10-19

Yikes

This is pretty much unintelligible. About half of it is the guy reading off equations so slowly that it’s impossible (for me anyway) to picture what he’s saying. “Right bracket x sub zero equals open parentheses a plus b smaller parentheses y sub 1 close small parentheses....” come on man nobody thinks like that

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  • alfarisi
  • 23-10-19

very good book

the book a gives a comprehensive introduction, I needed two days to finish as it is very clear and direct to the point.