Deep learning
Individual course
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
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