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53 строки
2.0 KiB
Plaintext
53 строки
2.0 KiB
Plaintext
2019
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Wang - Secrets of Deep Learning
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https://www.youtube.com/watch?v=cIEUR2ONFlI
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https://www.issp.u-tokyo.ac.jp/public/caqmp2019/slides/731L_Wang.pdf
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Matelis - Debuggable Deep Learning
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https://www.infoq.com/presentations/debug-dl/
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Yung - Understanding Deep Learning
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https://www.infoq.com/presentations/understanding-deep-learning
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! 242 p
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2018
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Simon - Deep Learning for Developers
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https://www.youtube.com/watch?v=BG0XDx2LllY
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Simplelearn - Deep Learning Interview Questions and Answers
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https://www.youtube.com/watch?v=JYMKEM5c7PU
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Korobchenko - DL
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https://www.youtube.com/channel/UCh1n4S8xnt6glf3wZb0Rq7w
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https://www.youtube.com/watch?v=FKNZ5kRau6s
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https://www.youtube.com/watch?v=PXI3gwN-Nzc
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ACADGILD - ML for Data Science
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https://acadgild.com/big-data/data-science-training-certification
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https://www.youtube.com/playlist?list=PLlz0muypSBNbI5E6SAq_8w2dyRuoo67Hl
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Goldsborough - Deep Learing with C++
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https://github.com/peter-can-talk/meeting-cpp-2017
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https://www.youtube.com/watch?v=8GoYXWOq55A
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ACADGILD - Deep Learning for Data Science Part 1
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https://www.youtube.com/watch?v=DTZ1PMBzv4U
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2017
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Oseledets - Tensors and DL
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https://www.youtube.com/watch?v=1P-i5G7Lg-0
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Tretyakov - DL
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https://www.youtube.com/watch?v=Ekvb9EgQDLk
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Rohrer - How Deep Neural Networks Work
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https://www.youtube.com/watch?v=ILsA4nyG7I0
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MailRu - ML fundamentals and DL
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https://www.youtube.com/watch?v=db0Qxm8E2qE
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Soshnikov - Practical intro to NN and DL
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https://www.youtube.com/watch?v=uaBp0uiLvKQ
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Vidal - Mathematics of Deep Learning
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https://www.youtube.com/watch?v=Mdp9uC3gXUU
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https://www.youtube.com/watch?v=xdA-uhJ6T3U
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Naftali Trishby - Information Theory of Deep Learning
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https://www.youtube.com/watch?v=RKvS958AqGY
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https://medium.com/manchester-futurists/demystifying-deep-neural-nets-efb726eae941
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Kavalerov - Foldable NeuralNets (good historical overview)
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https://www.slideshare.net/IvanKavalerov/ss-71241578
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https://www.youtube.com/watch?v=S4vL355capU
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2016
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CSClub - DL
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https://www.youtube.com/watch?v=b22_spF8srw
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