Deep Learning
7,5 credits
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.
