LEARNING OUTCOMES
Intended as follow-up for CS-EJ3211 Machine Learning with Python.
Credits: 2
Schedule: 24.10.2022 - 11.12.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Alex Jung, Shamsiiat Abdurakhmanova
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
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.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Period:
2020-2021 Autumn I-II
2021-2022 Autumn I-II
Course Homepage: https://mycourses.aalto.fi/course/search.php?search=CS-EJ3311
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.