Description

François Fleuret's deep learning course is a thorough introduction to the subject, complete with slides, recordings, and a virtual machine for hands-on practice. The course starts by introducing machine learning objectives and challenges before delving into tensor operations, automatic differentiation, gradient descent, and deep-learning specific techniques. Further lessons cover generative, recurrent, and attention models. François Fleuret developed the course at Idiap Research Institute and taught it as EE-559 at École Polytechnique Fédérale de Lausanne.