Deep Learning
The main content of the course concerns techniques for analysis, design and programming of deep learning algorithms. The content will cover basic principles of multi-layer perceptrons, spatio-temporal feature extraction with convolutional neural networks and recurrent neural networks, autoencoders, generative adversarial networks, classification and regression of big data.
Level:
Advanced level
Application code:
X3781
Entry requirements:
The courses Learning Systems 7.5 credits och Artificial Intelligence 7.5 credits. English 6. Exemption of the requirement in Swedish is granted.
Selection rules:
Available for exchange students. Limited numbers of seats.
Start week:
week: 45
Instructional time:
Daytime
Language of instruction:
Teaching is in English.
