Deep learning with Python
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.
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