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Deep learning

Individual course

The course is no longer accepting applications from degree students for spring 2022.

Max amount of FITech students: 75

Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course.

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.

More information in the Aalto University study guide.

You can get a digital badge after completing this course.

koneoppiminen, tekoäly, syväoppiminen, algoritmit, ohjelmointi

Further information about the studies

Aalto University
FITech ICT contact person

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
Start here
Start here
Category:
ICT Studies
Topic:
AI and machine learning
Course code:
CS-E4890
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
1.3.–27.5.2022
Application deadline:
Application period has ended
Host university:
Aalto University
Study is open for:
Adult learner,
Degree student
Teaching methods:
Online
Language:
English
General prerequisites:
Basic knowledge of mathematics (functions, vectors and matrices) and basic programming skills in any high-level programming language (e.g. Python).
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