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
Contact person for applications
Degree student
