someoneserge/skt_deeplearning

Deep Learning course AT SkolTech, 2019

Lectures: Lempitsky

Welcome message:

https://docs.google.com/document/d/1XEelUDL_2_K6svhtgJJjo6VSdWqOqOJxfzjsX0tRf6A/edit

Welcome to Skoltech Deep Learning Class (2019 edition)!
This and the following announcements will contain important information.

The class will be in Room 407-408 of the Blue Building (Mendeleev Quarter, i.e. "Old" Skoltech Building).

The actual schedule of the class is maintained in this Google Doc:

https://docs.google.com/document/d/1XEelUDL_2_K6svhtgJJjo6VSdWqOqOJxfzjsX0tRf6A/edit?usp=sharing (Links to an external site.)Links to an external site.

Lectures will start at 10:00 and run till 12:00.

Seminars will start at 9:30 and run till 12:00.

The following Telegram group will be used as an additional communication tool. Use it to get help from your classmates or to reach to class organizers:

https://t.me/joinchat/E1aLgxLOPaCvF1J02ne_EQ (Links to an external site.)Links to an external site.

Class materials
Victor Lempitsky
All sections
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There is plenty of material on deep learning on the web.

Generally, most of the material of the class will be based on the recent conference papers from the top conferences (which are NIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH/SIGGRAPH ASIA, ACL, EMNLP). They are also the recommended source of inspiration for the topic of your class project.

The following textbook is recommended:
Goodfellow, Bengio, Courville. Deep Learning. MIT press 2016
   (Links to an external site.)Links to an external site.http://www.deeplearningbook.org/ (Links to an external site.)Links to an external site. (Links to an external site.)Links to an external site.
Popular MOOCs:
Stanford class on convolutional networks:
  http://vision.stanford.edu/teaching/cs231n/ (Links to an external site.)Links to an external site.
Stanford class on deep learning for natural language processing:
  http://web.stanford.edu/class/cs224n/ (Links to an external site.)Links to an external site.
Big list of MOOCs (some in Russian):
  Deep Learning @Eclass: all about online learning (Links to an external site.)Links to an external site.
Deep learning guide by YN2 (Yerevan neural network group)
  http://yerevann.com/a-guide-to-deep-learning/ (Links to an external site.)Links to an external site.
For in-depth understanding of some of the topics have a look at this resource:
https://distill.pub (Links to an external site.)Links to an external site.

https://t.me/joinchat/CDFcMUhjSRBcgTwqsenWUA
https://github.com/yandexdataschool/Practical_DL/tree/master