392133 Recent Advances in Deep Learning (S) (SoSe 2020)

Short comment

The seminar will be given via the video conferencing tool zoom.
Start of the seminar: Thursday, 30.04.2020

Contents, comment

The students are supposed to form groups of three, which probably leads to 5-6 groups. (a total of 20 participants are registered)
Each group should work on a scientific article and present and discuss it within a maximum of 90 minutes.

In this seminar we will discuss the most recent advances and successes of Deep Learning. Therefore, we will provide a brief introduction into Deep Learning itself and then further discuss the most recent techniques and methods presented by the leading research groups of the field. Each participant will review a corresponding publication and summarize its contents in a 45 minute presentation. As a guideline see the book “Dive into Deep Learning” (https://d2l.ai/), Chapters 7 and 17.

External comments page

https://gds.techfak.uni-bielefeld.de/teaching/2020summer/adl

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

Subject assignments

Module Course Requirements  
31-M-ASM2 Advanced Statistical Methods II Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) Graded examination
Student information
Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (II.) Graded examination
Student information
39-Inf-EGMI Ergänzungsmodul Informatik vertiefendes Seminar 1 Ungraded examination
Student information
vertiefendes Seminar 2 Ungraded examination
Student information
vertiefendes Seminar 3 Ungraded examination
Student information
vertiefendes Seminar 4 Ungraded examination
Student information
39-Inf-SAB_a Spezielle Algorithmen der Bioinformatik Ausgewähltes Seminar zu Spezielle Algorithmen der Bioinformatik Study requirement
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

No more requirements
No eLearning offering available
Address:
SS2020_392133@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_208846173@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Email archive
Number of entries 0
Open email archive
Last update basic details/teaching staff:
Friday, May 8, 2020 
Last update times:
Monday, March 2, 2020 
Last update rooms:
Monday, March 2, 2020 
Type(s) / SWS (hours per week per semester)
Seminar (S) / 2
Language
This lecture is taught in english
Department
Technische Fakultät
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=208846173
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
208846173