Advanced Topics in Machine Learning

Recent progress in Computer Vision and Machine Learning has had a tremendous effect in the society and has provided new technologies in several fields, including, for example, information retrieval (image understanding, natural language processing) and automotive (self-driving cars and drones). This course is concerned with the latest developments in these fields and provides a hand-on understanding of the state-of-the-art methods. In particular, of interest are the current developments in neural networks (also known as deep learning). The course will provide detailed understanding of the latest architectures in neural networks and how to train them to solve vision- and text-related tasks.
 

Learning Outcomes: 

On successful completion of this course, the student will be able to:

  1. Build, train and use neural networks with the latest programming libraries for a variety of tasks
  2. Read and understand current publications in computer vision and machine learning related to neural networks
     
Type: 
Course
Semester: 
S2019
ECTS: 
5
Lecturer: 
Site: 
B
Code: 
31088
61088
Language: 
english
Period: 
weekly
Schedule: 
Tuesday: 9:15 - 12:00
Location: 
UniBE, Engehaldenstrasse 8
Room: 
002
Evaluation type: 
written exam
Comment: 

First Lecture
The first lecture will take place on Tuesday, 19.02.2019 at 09:15 in UniBE, Engehaldenstrasse 8, room 002.

ILIAS
The course page in ILIAS can be found at https://ilias.unibe.ch/goto_ilias3_unibe_crs_1340279.html.