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 CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman