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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Veranstaltungsname Seminar: Deep Learning for Computer Vision (CS-BWP-NI, CS-MP-IDC, CS-MWP-NI)
Untertitel
Veranstaltungsnummer 8.3434
Semester SoSe 2020
Aktuelle Anzahl der Teilnehmenden 71
Heimat-Einrichtung LE Cognitive Science
Veranstaltungstyp Seminar in der Kategorie Offizielle Lehrveranstaltungen
Erster Termin Freitag, 24.04.2020 10:00 - 12:00
Art/Form
SWS 2
Sprache Englisch
ECTS-Punkte 4

Räume und Zeiten

Keine Raumangabe
Freitag: 10:00 - 12:00, wöchentlich

Kommentar/Beschreibung

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").