Efficient Computing for Deep Learning, Robotics, and AI (Vivienne Sze) | MIT Deep Learning Series

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United States Lex Fridman
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Published on ● Video Link: https://www.youtube.com/watch?v=WbLQqPw_n88


Duration: 1:18:48
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Lecture by Vivienne Sze in January 2020, part of the MIT Deep Learning Lecture Series.

Website: https://deeplearning.mit.edu
Slides: http://bit.ly/2Rm7Gi1
Playlist: http://bit.ly/deep-learning-playlist

LECTURE LINKS:
Twitter: https://twitter.com/eems_mit
YouTube: https://www.youtube.com/channel/UC8cviSAQrtD8IpzXdE6dyug
MIT professional course: http://bit.ly/36ncGam
NeurIPS 2019 tutorial: http://bit.ly/2RhVleO
Tutorial and survey paper: https://arxiv.org/abs/1703.09039
Book coming out in Spring 2020!

OUTLINE:
0:00 - Introduction
0:43 - Talk overview
1:18 - Compute for deep learning
5:48 - Power consumption for deep learning, robotics, and AI
9:23 - Deep learning in the context of resource use
12:29 - Deep learning basics
20:28 - Hardware acceleration for deep learning
57:54 - Looking beyond the DNN accelerator for acceleration
1:03:45 - Beyond deep neural networks

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Tags:
mit
deep learning
neural networks
mit deep learning
Vivienne Sze
deep learning hardware
artificial intelligence
machine learning
autonomous navigation
introduction to deep learning