CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean

Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition. Lecture 15.
Get in touch on Twitter @cs231n, or on Reddit /r/cs231n.
Our course website is cs231n.stanford.edu/

[@dashingrahulable]

A huge shout-out to CS231n team for putting together such a beautiful series of lectures, and for making them available to public!

[@LauriusT]

Finished the course. The lectures were really amazing. Thank you for making class notes and videos publicly available!

[@yongkangchia1993]

may i ask is the class notes on the website below module one and module 2?

[@leixun]

*My takeaways*
1. Distillation 32:10
2. Model parallelism 44:35
3. Data parallelism 47:12

[@weichenke3086]

Finished the course +1. It is a great start for deep learning. Thank you for all the lectures, notes and assignments!

[@leotrisport]

Great Lecture! Viewing again the lectures for the second time!

[@naskastark6730]

just finished the course , all i have to say is thanks.

[@TimGasserPlus]

Great lecture

[@kellenxu6765]

VERY Good Lecture, enjoyed it

[@vijendrarana8335]

Thanks :)

[@dmitry926]

You should show step-by-step tutorial how to build networks using different software packages in your lectures. Practice is always better than your theoretical twaddle.

[@StarzzLAB]

There are assignments available online as well

[@anant8884]

what the fuck......be humble bitch