Seminar: Deep Learning for Computer Vision (CS-BWP-NI, CS-MP-IDC, CS-MWP-NI) - Details

Seminar: Deep Learning for Computer Vision (CS-BWP-NI, CS-MP-IDC, CS-MWP-NI) - Details

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General information

Course name Seminar: Deep Learning for Computer Vision (CS-BWP-NI, CS-MP-IDC, CS-MWP-NI)
Subtitle
Course number 8.3434
Semester SoSe 2020
Current number of participants 73
Home institute LE Cognitive Science
Courses type Seminar in category Offizielle Lehrveranstaltungen
First date Friday, 24.04.2020 10:00 - 12:00
Type/Form
SWS 2
Sprache Englisch
ECTS points 4

Rooms and times

No room preference
Friday: 10:00 - 12:00, weekly

Comment/Description

In recent years, deep neural networks have shown tremendous success in
almost all fields of computer vision, outperforming most alternative
techniques. Yet many aspects of this paradigm are not well understood,
and recent findings hint to systematic problems in this branch of
machine learning.

In this seminar, we will study different approaches to analyze and
understand the operation of deep networks with the goal of identifying
theoretical and practical challenges. On the practical side will
focus on the application of deep learning to the problems of computer vision
and especially imageregistration and discuss different proposals to
address these tasks.
This course targets at master and advanced bachelor students. The
ideal participant will have some background in machine learning,
computer vision, and deep learning (e.g. on the level of the
"Implementing ANNs with TensorFlow").