Deep Learning Seminar, Winter 2019/20

In recent years, deep neural networks have been used to solve complex machine-learning problems and have achieved significant state-of-the-art results in many areas. The whole field of deep learning has been developing rapidly, with new methods and techniques emerging steadily.

The goal of the seminar is to follow the newest advancements in the deep learning field. The course takes form of a reading group – each lecture a paper is presented by one of the students. The paper is announced in advance, hence all participants can read it beforehand and can take part in the discussion of the paper.

If you want to receive announcements about chosen paper, sign up to our mailing list ufal-rg@googlegroups.com.

About

SIS code: NPFL117
Semester: winter + summer
E-credits: 3
Examination: 0/2 C
Guarantor: Milan Straka

Timespace Coordinates

The Deep Learning Seminar takes place on Monday at 12:20 in S10. We will first meet on Monday Oct 07.

Requirements

To pass the course, you need to present a research paper and sufficiently attend the presentations.

If you want to receive announcements about chosen paper, sign up to our mailing list ufal-rg@googlegroups.com.

To add your name to a paper the table below, edit the source code on GitHub and send a PR.

Date Who Topic Paper(s)
07 Oct 2019
14 Oct 2019
21 Oct 2019
28 Oct 2019 No DL seminar Czech Independence Day
04 Nov 2019
11 Nov 2019
18 Nov 2019
25 Nov 2019
02 Dec 2019
09 Dec 2019
16 Dec 2019
23 Dec 2019 No DL seminar Christmas Holiday
30 Dec 2019 No DL seminar Christmas Holiday
06 Jan 2020