Video Links
I am trying to make list for AI/Deep Learning in terms of Big Picture/Trends, Lectures/Course. I am creating another list mained focused on Application of this technology listed here.
Followings are topics on which I am compiling videos in this note.
Big Picture/History/Trends
Lecture/Courses
At first I intended to put only the first lecture of each course/lectures and then let you follow through subsequent lectures, but I myself had difficulties in following through all the lectures in sequence. I was partly because in most case the unversity didn't post the video in a well packaged play list and partly because the video suggested by YouTube AI is not always recommending the lectures in the course that I wanted. So I decided to list all of the lectures for each course here.
 Geoffrey Hinton: "Introduction to Deep Learning & Deep Belief Nets" (2012)
 Neural Networks for Machine Learning  Geoffrey Hinton, Nitish Srivastava, Kevin Swersky (2016)
 MIT 6.S094  Lex Fridman (2017)
 Standford University : CS231  Fei Fei Li, Justine Johnson, Serena Yeung (2017)
 MIT 6.S094  Lex Fridman (2018)
 Stanford CS230: Deep Learning  Andrew Ng (2018)
 Stanford CS221  Percy Liang (2019)
 MIT 6.S191  Alexander Amini et al (2019)
 MIT Deep Learning Basics  Lex Fridman (2019)
 University of Toronto  Introduction to Machine Learning Course (2019)
 Deep Learning  Jeramy Howard (2019)
 Linear Algebra and Learning from Data (2019)
 Deep Learning State of the Art (2020)  MIT Deep Learning Series (2020)  Lex Fridman
 MIT Introduction to Deep Learning  6.S191 (2020)  Alexander Amini
Reinforcement Learning
Other Online Courses
Blogs/Sites
