ACMSIGGRAPH
Deep learning is a revolutionary technique for discovering patterns from data. We’ll see how this technology works and what it offers us for computer graphics. Attendees learn how to use these tools to power their own creative and practical investigations and applications.
Source
Deep Learning: A Crash Course
thanks a lot!
Génial ACMSIGGRAPH
confrim
Loved the convulsion explanation and the face explanation. So clear, so simple to understand. Awesome video, thank you! 🙂
2:51:00 the discounting is actually more about introducing a notion of time-value to your rewards (+some mathematical convenience) rather than one of uncertainty.
Thank you so much! It helped me get a general idea about the basic ideas of deep learning.
Second part 1:48:53
Such a great talk! And thanks, for 'rescuing' the real neurons from the machine learning society…
of all the jokes in this course, the four joke a 30 min mark was epic lol
Thank you so much! It helped me get a general idea about the basic ideas of deep learning.
Thank you so much! It helped me get a general idea about the basic ideas of deep learning.
Thank you/ This was great info/ Keep on creating .
Wow that was an awesome talk. The host was very entertaining and informative to listen to.
Great presentation: well done!
Great presentation: well done!
Thank you so much! It helped me get a general idea about the basic ideas of deep learning.
Thank you so much! It helped me get a general idea about the basic ideas of deep learning.
Thank you Andrew & SIGGRAPH for sharing this excellent introductory lecture on deep learning!
https://uspekhi.web.app/projects
of all the jokes in this course, the four joke a 30 min mark was epic lol
Thank you/ This was great info/ Keep on creating .
Thank you so much! It helped me get a general idea about the basic ideas of deep learning.
Thank you so much! It helped me get a general idea about the basic ideas of deep learning.
Great presentation: well done!
Thank you/ This was great info/ Keep on creating .
Thank you Andrew & SIGGRAPH for sharing this excellent introductory lecture on deep learning!
Second part 1:48:53
Great presentation: well done!
Thank you/ This was great info/ Keep on creating .
https://youtu.be/Lf-secTuZVY
Thank you Andrew & SIGGRAPH for sharing this excellent introductory lecture on deep learning!
Thank you/ This was great info/ Keep on creating .
Great presentation: well done!
Thank you/ This was great info/ Keep on creating .
Thank you/ This was great info/ Keep on creating .
informative talk and well presented thanks for uploading 🙂
Thank you Andrew & SIGGRAPH for sharing this excellent introductory lecture on deep learning!
Great presentation: well done!
Starts off playing Steely Dan, good taste 😉
lots of bots down here huh
I left youtube on and the algorithm took me here…
I left youtube on and the algorithm took me here…
Thank you/ This was great info/ Keep on creating .
Thank you Andrew & SIGGRAPH for sharing this excellent introductory lecture on deep learning!
Thank you/ This was great info/ Keep on creating .
Great presentation: well done!
Great presentation: well done!
I left youtube on and the algorithm took me here…
Thank you Professor, for saving the time to browse the topics individually online
I left youtube on and (WTF) I end up here? WHY? WHY? WHY?
Starts off playing Steely Dan, good taste 😉
Thank you Andrew & SIGGRAPH for sharing this excellent introductory lecture on deep learning!
sure realizw
Python or C++ for Deep Learning?
My neuron finally understood what the neuron networks do, thanks a lot
So at 27:30 he just says "neural network"… ok
Modern Selfless Saints , Role Model for Next gen
Am I the only one seeing this in 2020 lol
I opened the video by mistake and now I can not leave. Good presentation!
Great presentation: well done!..
Thanks a lot for these great explanations, was really helpful !.
But are the comments here mostly created by a bot ?. Because most of them say exactly the same I just noticed ?.
Excellent. Subtiles ?
im not a robot
Wow. Amazing. Thank you – great lecture. I never suspected that a 3+ hr. lecture could be so interesting!
I'm an imaginary fellow too 🙂