Shallow Learning

Shallow Learning

This 6-week course introduces “shallow” machine learning methods such as linear models, trees, neural networks, clustering techniques and NLP. Through a mix of short video lectures, curated readings, exercises and a final project, participants learn how to design,...
Shallow Learning

Deep Learning for Computer Vision

This 3 ECTS course provides an introduction to deep learning methods for computer vision. It covers the fundamentals of digital images and visual tasks, followed by convolutional neural networks and their application to image classification, object detection, semantic...
Experiment Tracking for Computer Vision

Experiment Tracking for Computer Vision

“Experiment Tracking for Computer Vision” is a practical training session focused on two widely used experiment tracking tools: MLflow and Weights & Biases. Participants will learn how to organize and monitor Computer Vision experiments, log hyperparameters and...