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Academic Supervisor

Naumov, Alexey

Scientific Supervisor

Spokoiny, Vladimir

Manager

Gureev, Alexander

Head of Curriculum Support for Partner Master`s Programmes

Yakovleva, Ilona

Contacts

11 Pokrovsky Boulevard, Office S935
Moscow, 101000, Russia

Phone: +7 (495) 772-95-90*27331

Email: iyakovleva@hse.ru

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Course type:: Elective course

When:: 2 year, 2 module

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Abstract

Deep Learning (DL) is a highly promising and popular applied science that, at present, is poorly understood theoretically. We know that neural networks work well, but cannot fully explain why. Nevertheless, in the last few years, there has been a rapid growth of publications that shed light on the new mathematics underlying DL, and we see now many interesting connections between DL and other fields such as approximation theory, differential equations, information theory, random matrix theory and statistical physics. This course aims to introduce students to these cutting-edge developments.

Master’s Programme 'Math of Machine Learning'

Contacts

Theoretical Methods of Deep Learning

Course Syllabus

Abstract