Глубинное обучение (курс лекций)/2020
Материал из MachineLearning.
(Различия между версиями)
Строка 10: | Строка 10: | ||
Anytask invite code: ldQ0L2R | Anytask invite code: ldQ0L2R | ||
- | + | Course chat in Telegram: [https://t.me/joinchat/FIB6dhxS8U6wRFI-TDMNSA link] | |
== Rules and grades == | == Rules and grades == |
Версия 19:27, 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
Course chat in Telegram: link
Rules and grades
TBA
Lectures and seminars
Date | No. | Topic | Materials |
---|---|---|---|
11 Sep. 2020 | 1 | Introduction. Fully-connected networks. | |
Matrix calculus, automatic differentiation. | Synopsis |