Deep learning

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.
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Schedule:

Teaching time:

Daytime

Location:

Online

Topic:

Information and communications technology

Form of learning:

Online

Provider:

Aalto University, FITech

Level:

Advanced

Credits:

5 By Aalto University (ECTS)

Fee:

Free of charge

Target group and prerequisites

Basic knowledge of mathematics (functions, vectors and matrices) and basic programming skills in any high-level programming language (e.g. Python).

Course description

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.

Course material

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).

Teaching methods

The material including the lectures will be available online. The exercises are most likely organized via Zoom.

Application deadline: 21.2.2022.

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