Глубинное обучение (курс лекций)/2020
Материал из MachineLearning.
(Различия между версиями)
Kropotov (Обсуждение | вклад)
(Новая: __NOTOC__ This is an introductory course on deep learning models and their application for solving different applied problems of image and text analysis. '''Instructors''': [[Участ...)
К следующему изменению →
Версия 19:17, 15 сентября 2020
This is an introductory course on deep learning models and their application for solving different applied problems of image and text analysis.
Instructors: Dmitry Kropotov, Victor Kitov, Nadezhda Chirkova, Oleg Ivanov and Evgeny Nizhibitsky.
The timetable in Autumn 2020: Fridays, lectures begin at 10-30, seminars begin at 12-15, zoom-link
Lectures and seminars video recordings: link
Anytask invite code: ldQ0L2R
For questions: [course chat in Telegram]
Rules and grades
TBA
Lectures and seminars
| Date | No. | Topic | Materials |
|---|---|---|---|
| 11 Sep. 2020 | 1 | Introduction. Fully-connected networks. | |
| Matrix calculus, automatic differentiation. | Synopsis |
