An introductory lecture for MIT training course 6.S094 on the fundamentals of deep understanding which includes a couple essential concepts, subfields, and the significant photograph of why neural networks have impressed and energized an total new technology of researchers. For a lot more lecture movies on deep mastering, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, pay a visit to our web site or follow TensorFlow code tutorials on our GitHub repo.
Info:
Website: https://deeplearning.mit.edu
GitHub: https://github.com/lexfridman/mit-deep-learning
Slides: http://bit.ly/deep-understanding-principles-slides
Playlist: http://bit.ly/deep-studying-playlist
Blog site post: https://connection.medium.com/TkE476jw2T
Outline:
:00 – Introduction
:53 – Deep finding out in 1 slide
4:55 – Record of tips and applications
9:43 – Uncomplicated example in TensorFlow
11:36 – TensorFlow in one slide
13:32 – Deep discovering is representation finding out
16:02 – Why deep studying (and why not)
22:00 – Issues for supervised learning
38:27 – Essential minimal-level ideas
46:15 – Larger-amount strategies
1:06:00 – Toward artificial common intelligence
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