Deep learning papers reading roadmap

Re:Deep learning papers reading roadmap by amelius on Friday October 21, 2016 @05:28AM (#12759163)

What are the best video lectures out there, with emphasis on theory (not coding)?

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Re:Deep learning papers reading roadmap by lis on Friday October 21, 2016 @06:10AM (#12759271)

I can highly recommend Hinton's course on Coursera - https://www.coursera.org/learn/neural-networks

It starts on October 31st, I took it a while ago and learned a lot. The course is gravitating towards the theoretical end of the spectrum. If you want something thats a bit easier to get into, I can recommend the course by Hugo Larochelle:

http://info.usherbrooke.ca/hlarochelle/neural_networks/conte...

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Re:Deep learning papers reading roadmap by pinouchon on Friday October 21, 2016 @08:23AM (#12759782)

I recommend this course: CS231n Winter 2016 Stanford (Lecturer is Andrej Karpathy) https://www.youtube.com/playlist?list=PLLvH2FwAQhnpj1WEB-jHm...

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Re:Deep learning papers reading roadmap by bosie on Friday October 21, 2016 @01:34PM (#12762605)

i quite enjoyed nando de freitas oxford lecture: https://www.youtube.com/watch?v=PlhFWT7vAEw

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Re:Deep learning papers reading roadmap by gamapuna on Friday October 21, 2016 @11:08AM (#12761041)

In addition to cs231n which someone recommended, I would also suggest cs224d (stanford) and university of waterloo's course by ali ghodsi STAT 946

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