Neural Networks: Implementation and Application

Suitable for:  CoLi, CS, CuK,  Mechatronics, VC

Credit Points: 6 CP

Lecturer: Prof. Dietrich Klakow
Location: HS I in E2 5 (Math) (except 21.11 where it is HS002 in E13 and 30.1 where it is HS001 in E13)

Time: Tuesday, 14:15-15:45;
Starts: October 24th

Registration for participation: closed

Exam:
     Tuesday, February 6th, 2018 from 14:00-16:00; C6 4; Room 10

IMPORTANT:

  • Please register for the exam in HISPOS (registration deadline : 17.01.2018)
  • Students who have taken PSR WS1617 and passed can not take it as a separate new course.

Quizzes:

  • First quiz will be on November 21st in HS002 in E13

Tutorials:
   We will offer four tutorial groups. Days and times are as below:

Group

Day/Time

Location

Tutor

1

    Monday
(10:00 - 12:00)
--------------------

                 E1 3
                HS001
------------------------------------

        Rajarshi Biswas
<s9rabisw@stud.uni-saarland.de>
----------------------------------------

2

    Tuesday
(12:00 - 14:00)
 --------------------

                 B2 2
                 HS1
------------------------------------

        Marius Mosbach
<s9msmosb@stud.uni-saarland.de>
----------------------------------------

3

     Tuesday
(12:00 - 14:00)
 --------------------

                 C4 3
(0. 17)- Bernd-Eistert Hörsaal
 -----------------------------------

        Marimuthu Kalimuthu
<s8makali@stud.uni-saarland.de>
----------------------------------------

4

    Thursday
(10:00 - 12:00) 
---------------------

              B2 2; HS II
(on 30.11.17: A2 4; SR 0.33)
------------------------------------

        Maksym Andriushchenko
<s8mmandr@stud.uni-saarland.de>
----------------------------------------

 

Discussion platform

This term we will be using Piazza for class discussion. The system is highly catered to getting you help fast and efficiently from classmates, the TA, and myself. Rather than emailing questions to the teaching staff, I encourage you to post your questions on Piazza.

Find our class page at:

 

Content/Slides

 

Exercises:

  Please log in to Piazza to see the assignment sheets.

Examples and scripts used in the lecture

 

Literature

Deep Learning by

Ian Goodfellow, Yoshua Bengio and Aaron Courville