Back to all courses

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
Start here
Start here
Category:
ICT Studies
Topics:
AI and machine learning,
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
Teaching methods:
Online
Language:
English
General prerequisites:
Course Machine Learning with Python
Interested in this course? Subscribe and get updates about the course directly to your email. You can cancel subscription any time you want.

This course is included in the following theme