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Lecture: Deep Learning - Details
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Lehrveranstaltung wird in Präsenz abgehalten.

General information

Course name Lecture: Deep Learning
Course number INF-0315
Semester SS 2023
Current number of participants 95
Home institute Embedded Intelligence for Health Care and Wellbeing
participating institutes Institut für Informatik
Courses type Lecture in category Teaching
First date Thu., 20.04.2023 14:00 - 15:30, Room: (2045N)
Pre-requisites Knowledge from mathematics lectures should be present.
Performance record Klausur am Ende des Semesters / Exam at the end of the semester
Online/Digitale Veranstaltung Veranstaltung wird in Präsenz abgehalten.
Hauptunterrichtssprache deutsch
Literaturhinweise Ian Goodfellow; Yoshua Bengio; Aaron Courville (2016). Deep Learning. Cambridge, Massachusetts: MIT Press.

Further literature is going to be announced in the first lecture of the course.
ECTS points 5

Course location / Course dates

(2045N) Thursday: 14:00 - 15:30, weekly (12x)

Module assignments

Comment/Description

The course Deep Learning covers the fundamentals and applications of Machine Learning using Deep Neural Networks.

The Lecture includes a historical outline of Neural Network developments, covering all aspects from basic concepts to complex models. The course covers Neural Network architectures that are suitable for a variety of data types and signals from different domains, such as audio, speech, vision, and text.

In the Tutorials, students will be familiarised with the latest Deep Learning toolkits such as Tensorflow and Keras and learn how to train and evaluate Deep Neural Networks for different applications.