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Deep learning

Individual course

Max amount of FITech students: 75

Course introduces the fundamental and current topics of deep learning. Implementing algorithms on a computer are 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 discussed in the course. After the course, you 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).

Schedule:

Lectures (not mandatory)

Tuesdays 25.2.–31.3. at 14.15–16
Tuesdays 14.4.–19.5. at 14.15–16

Exam

Possible examination to be annouced later.

More information in Aalto University’s WebOodi course page.

Further information about the studies

Aalto University
FITech ICT contact person
fitech-sci(at)aalto.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
Start the application process
Start the application process
Category:
ICT Studies
Topic:
AI and machine learning
Course code:
CS-E4890
Credits:
5 ECTS
Teaching period:
25.2.–26.5.2020
Application deadline:
18.2.2020
Host university:
Aalto University
Study is open for:
Adult learner,
Degree student
Level of studies:
Advanced
Teaching methods:
Blended
Place of contact learning:
Espoo
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).