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I recently attended a Q&A session about this chapter and deep learning in general given by Yaroslav Bulatov (OpenAi, previously Google Street View). It has interesting content for all levels. You might even hear my voice asking tons of questions :).
'Yaroslav Bulatov (OpenAi) Q&A Deep Learning Book, Chapter 2: Linear Algebra':https://www.youtube.com/watch?v=NMhK2A_N0Nc
The best linear algebra resource is Gilbert Strang's course taught MIT. He explains things very clearly and with a lot of simple examples. It's all available on youtube!
The best introductory linear algebra resource is Gilbert Strang's course taught MIT. He explains things very clearly and with a lot of simple examples. It's all available on youtube!
'Gilbert Strang MIT Linear Algebra Video Lectures':https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
You may want to play it at 1.5 or 2x speed though :). There are a lot of lectures, you can skip to the ones you're interested in.
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