Introduction to Deep Learning

General Information

Summer Semester 2019.

SWS: 3, ECTS: 5.

Available for master students from: Computational Science and EngineeringInformationssystemtechnikElektrotechnik, Communications Technology (at the moment).

The course will be conducted in English.

Objectives

The aim of the course is to acquire basic knowledge on deep learning. This includes classical neural network models and recent architectures. Topics such as convolutional neural networks, optimisation, regularisation, generative models, sequential models will be covered among others. In the exercise, the participants will implement some of the standard models for classification or regression, transfer learning, generative models and acquire knowledge on machine learning applications.

Participation

Background on linear algebra, calculus, optimisation and programming will be helpful.

There will be two hours lecture every week and two hour exercise almost every second week.

The registration is performed through https://campusonline.uni-ulm.de.

The material of the course will be available at https://moodle.uni-ulm.de/

For further questions on the course, the students may contact the lecturer.

Exam: 31.07.2019 at 10am. Room: 43.2.101 & 43.2.104.

Repetition Exam27.09.2019 at 10am. Room: 43.2.104.

Lecture Schedule (tentative)

DateTimeRoomTopicComments
29.04.201912:0043 / 43.2.104Introduction

 

06.05.201912:0043 / 43.2.104Machine learning basics
13.05.201912:0043 / 43.2.104Feedforward networks and back-propagation
20.05.201912:0043 / 43.2.104Optimization
27.05.201912:0043 / 43.2.104Regularization, Param. Initialization & Normalization
03.06.201912:0043 / 43.2.104Regularization, Param. Initialization & Normalization
10.06.2019--No lecturePfingstmontag
17.06.201912:0043 / 43.2.104Convolutional Neural Networks
24.06.201912:0043 / 43.2.104Modern Deep Architectures
01.07.201912:0043 / 43.2.104Auto-Encoders
08.07.20912:0043 / 43.2.104Recurrent Neural Networks
15.07.201912:0043 / 43.2.104Deep Generative ModelsDouble lecture
15.07.201914:0047 / 47.2.101Q&A, Exam PreparationDouble lecture

Exercise Schedule (tentative)

DateTimeRoomTopicComments
13.05.201914:0045 / 45.2.104 / PC-Pool 10Extra place for laptop holders at 47 / 47.2.101
20.05.201914:0045 / 45.2.104 / PC-Pool 10Extra place for laptop holders at 47 / 47.2.101
27.05.201914:0045 / 45.2.104 / PC-Pool 10Extra place for laptop holders at 47 / 47.2.101
17.06.201914:0045 / 45.2.104 / PC-Pool 10Extra place for laptop holders at 47 / 47.2.101
24.06.201914:0045 / 45.2.104 / PC-Pool 10Extra place for laptop holders at 47 / 47.2.101
01.07.201914:0045 / 45.2.104 / PC-Pool 10Extra place for laptop holders at 47 / 47.2.101
08.07.201914:0045 / 45.2.104 / PC-Pool 10Extra place for laptop holders at 47 / 47.2.101

 

 

Lecturer

Jun.-Prof. Dr. rer. nat. Vasileios Belagiannis 
Raum: 41.2.214
Telefon: +49 (0)731 50 27004
E-Mail | Homepage

Exercise

Strohbeck Jan, M. Sc.
Raum: 41.2.216
Telefon: +49 (0)731 50 27026
E-Mail | Homepage

Schedule and Place

Lecture: Monday, 12:00 - 14:00 Uhr (43.2.104)

Exercise: Monday (every second week), 14:00 - 16:00 Uhr (45.2.104)