Deep Learning

Upon completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge
The student should be able to

• explain the basic principles behind neural networks and deep learning
• compare modeling aspects of various neural network architectures

Skills
The student should be able to

• implement simple neural network algorithms
• apply and evaluate deep learning on real data sets

General competence
The student should be able to

• provide successful examples how deep learning can be used in different contexts in the society
• read and critically assess papers on artificial neural networks and their applications