I didn’t know that this existed, but did not find it from the forum by search.
I stumbled upon it while searching about positive definite matrices. But this really seems to be a full course by THE Gilbert Strang.
Explaining Deep Learning, starting from Linear Algebra, then splitting into Probability and Statistics; Optimization, and then finally bringing it all together in Deep Learning.
Check out the intro video:
I have previously followed Gilbert Strang’s opencourseware and can not more recommend this guy. I believe it’s the perfect companion for Jeremy Howard’s and Andrew Ng’s just so beautiful deep learning courses.
I concur, it is a joy to learn from Gilbert Strang. I’ve watched the first 8 lectures of this course now and absolutely love them. I often use the TouchTheVideo app to mark important sections to review and for one particular lecture I couldn’t find a single point that didn’t seem essential.