Graduate Courses
This website contains links to the official pages of the courses I offer in the graduate education.
-
BILL 5210 Knowledge Discovery in Large Data Sets
Data preperation, outlier analysis, supervised learning, clustering, association rules, visualization methods... - BILL 7211
Soft Computing
ANN, Fuzzy inference systems, evolutionary algorithms, hybrid systems, probabilistic reasoning... -
BILL 8210
Supervised Deep Learning Methods
CNN, Batch Normalization, CNN architectures, Recurrent Neural Nets, LSTM, transfer learning, deep learning with tensorflow. - BIL 9xxx Deep
Learning for Computer Vision (new)
Convolutional features for visual recognition, ResNet, object detection, UNet, Segnet, deep generative adversarial networks, object detection, segmentation, FastR CNN...