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Deep learning with Python
Individual course
Max amount of FITech students: 1000
NB! After you have been accepted for this course, please confirm your study place as soon an possible, Sep 4th at the very latest. You will get a link to do that in the acceptance email.
This course is intended as a follow-up for CS-EJ3211 Machine Learning with Python.
In this course, you will learn how to use state-of-the-art deep learning methods with the programming language Python.
We will discuss key concepts of deep learning, such as artificial neural networks, data augmentation and transfer learning in a hands-on fashion. The grading is based on coding assignments and student projects.
You can get a digital badge after completing this course.
Further information about the studies
Aalto University
FITech ICT contact person
fitech-sci(at)aalto.fi
Responsible teacher
Aalto University
Alex Jung , Assistant professor
alex.jung(at)aalto.fi
Contact person for applications
FITech
Pilvi Lempiäinen , Head of study services
pilvi.lempiainen(at)fitech.io
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Category:
ICT Studies
Topics:
AI and machine learning,
Programming
Programming
Course code:
CS-EJ3311
Credits:
2 ECTS
Price:
0 €
Level:
Teaching period:
7.9.–13.12.2020
Application deadline:
31.8.2020
Host university:
Aalto University
Study is open for:
Adult learner,
Degree student
Degree student
Teaching methods:
Online
Language:
English
General prerequisites:
Course Machine Learning with Python
