https://cw.fel.cvut.cz/b252/ 2026-05-05T13:00:39+0200 https://cw.fel.cvut.cz/b252/ https://cw.fel.cvut.cz/b252/lib/tpl/bulma-cw/images/favicon.ico text/html 2026-02-11T15:59:13+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b252/courses/bev033dla/exam?rev=1770821953&do=diff Exam instructions The duration of the written exam in summer semester 2026 is 120min. Allowed materials: You are allowed to bring one A4 page with your handwritten notes (one sided). Example of an exam from 2022 [ exam-2022 ] text/html 2026-04-30T16:26:15+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b252/courses/bev033dla/lectures?rev=1777559175&do=diff Lectures Syllabus 2026 Date Lecture Teacher Materials Reading / Extended Sources 18.02.2026 1. Recap of Machine Learning, Multi-Layer Perceptron AS [ slides] Goodefellow 5.2-5.5 25.02.2026 2. Backpropagation AS [ slides] Implicit Layers, Chapter 1 04.03.2026 3. History + CNN + DeepSet text/html 2026-03-10T15:52:33+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b252/courses/bev033dla/start?rev=1773154353&do=diff BEV033DLA – Advanced Deep Learning Overview The course introduces deep neural networks and deep learning – a branch of machine learning and artificial intelligence. It aims at providing the relevant algorithmic and theoretical concepts needed for successfully designing and training NNs. At the same time it strives at providing technical and practical skills in this domain. The course is best suited for master students. We expect students to have basic knowledge in machine learning and AI.