Form of learning:
Target group and prerequisites
The course introduces the fundamental and current topics of deep learning. Implementing algorithms on a computer is a part of the course and the programming language is Python. Python-based softwares that allow for symbolic differentiation will also be used. Understanding of the general principles of deep learning, and the central deep learning methods are discussed in the course. After the course, the student should be able to apply them to real-world data sets.
The external material of the course will include the book ‘Deep Learning’ by Ian Goodfellow, Yoshua Bengio and Aaron Courville, published by MIT Press in 2016 (online version available free at http://www.deeplearningbook.org).
The material including the lectures will be available online. The exercises are most likely organized via Zoom.
Application deadline: 21.2.2022.