https://cw.fel.cvut.cz/b232/ 2026-05-03T14:57:26+0200 https://cw.fel.cvut.cz/b232/ https://cw.fel.cvut.cz/b232/lib/tpl/bulma-cw/images/favicon.ico text/html 2024-05-16T12:50:39+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b232/courses/bev033dle/exam?rev=1715856639&do=diff Exam instructions The duration of the written exam in summer semester 2024 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 ] Exam terms: Term 1: 05.6., 10:00-12:00, KN:E-112 text/html 2024-05-21T19:55:19+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b232/courses/bev033dle/lectures?rev=1716314119&do=diff Quick links: Schedule | Forum | BRUTE | Labs Lectures Syllabus Date Lecture Teacher Materials Reading 21.02.2024 1. Introduction to Neural Networks BF [ slides ] [ McCulloch-Pitts Neuron] 28.02.2024 2. The Power of Neural Networks text/html 2024-03-13T16:37:49+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b232/courses/bev033dle/start?rev=1710344269&do=diff Quick links: Schedule | Forum | BRUTE | Lectures | Labs BEV033DLE – 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 bachelor students in their last year…