0:54 Quick Overview 3:55 Tree Search Complexity 4:44 Training Policy Networks with Supervised Learning 5:44 State Representation 6:18 Policy Networks with Self-Play and Policy Gradients 7:33 Training Value Network 8:25 Monte Carlo Tree Search 12:26 Results of AlphaGo 12:52 Distributed Implementation
The other day I watched Francois Chollet's interview on Lex Fridman's YT channel, and saw your comment about how Keras was one of the reasons you didn't give up on studying DL. I'm glad you stuck with it: you do a wonderful job teaching what you're learning. I can't say that I understand everything you're talking about, but I'm getting better every day. Like you, I'm not giving up on learning AI/DL.ML even if it feels overwhelming at times. Thank you for making my learning easier. 😊
Awesome! I really enjoyed Lex's interview with Francois Chollet, Keras is an amazing API for Deep Learning. It's also been really cool to see the tighter integration between Keras and Tensorflow with later releases, you have access to a lot of really useful / advanced things in Keras like Distributed Training, Mixed Precision, and Quantization. Goodluck with your learning journey!
I am an undergraduate student, currently taking an intro to AI course Our teacher told us to write a project on something we are interested, I choose to write AlphaGo Was trying to understand how all those things work, found this video. After watching this I kinda get the idea of how it works, but because of lack of knowledge, still a little bit confused. Overall, it is a great video, I hope I can learn more by reading paper.
Please talk slower. I mean, it's a commonly known thing to teachers and speakers. If you speak too fast, especially in an information heavy subject, a lot just isn't going to stick. A pause of 1 second, no matter how artificial it seems, here and there should help.
![Felix "Unfair" | [Stray Kids : SKZ-PLAYER]](http://i.ytimg.com/vi/Oswujxm2Ag0/mqdefault.jpg)
0:54 Quick Overview
3:55 Tree Search Complexity
4:44 Training Policy Networks with Supervised Learning
5:44 State Representation
6:18 Policy Networks with Self-Play and Policy Gradients
7:33 Training Value Network
8:25 Monte Carlo Tree Search
12:26 Results of AlphaGo
12:52 Distributed Implementation
The other day I watched Francois Chollet's interview on Lex Fridman's YT channel, and saw your comment about how Keras was one of the reasons you didn't give up on studying DL. I'm glad you stuck with it: you do a wonderful job teaching what you're learning. I can't say that I understand everything you're talking about, but I'm getting better every day. Like you, I'm not giving up on learning AI/DL.ML even if it feels overwhelming at times. Thank you for making my learning easier. 😊
Awesome! I really enjoyed Lex's interview with Francois Chollet, Keras is an amazing API for Deep Learning. It's also been really cool to see the tighter integration between Keras and Tensorflow with later releases, you have access to a lot of really useful / advanced things in Keras like Distributed Training, Mixed Precision, and Quantization. Goodluck with your learning journey!
Jeeez this is SO good. Dense information flow and clear communication! A man certainly knows what he's talking about
Thank you so much, I really appreciate it, glad you liked the video!!
Your videos are underrated! Thanks for them, and keep 'em coming! :)
Joseph Edappully Thank you so much!!
This was a pretty good overview! Thanks ...
best explanation
This is outrageously good!
I am an undergraduate student, currently taking an intro to AI course
Our teacher told us to write a project on something we are interested, I choose to write AlphaGo
Was trying to understand how all those things work, found this video.
After watching this I kinda get the idea of how it works, but because of lack of knowledge, still a little bit confused.
Overall, it is a great video, I hope I can learn more by reading paper.
Thank you, good luck with your learning!
Please talk slower. I mean, it's a commonly known thing to teachers and speakers. If you speak too fast, especially in an information heavy subject, a lot just isn't going to stick. A pause of 1 second, no matter how artificial it seems, here and there should help.
Thank you for the feedback! I will try to be more mindful of this going forward!
In case some people don't know, you can adjust your play speed to be slower or faster in any RUclips video.
you speak really fast