Neural Networks (LTAT.02.001)

Important: The first lecture is on 10.02.2026, and the first practice sessions will take place in 11.02.2026 (group 1) and 12.02.2026 (group 2).

The course presents the main concepts of the theory and practice of modern neural networks. It also gives students the basic understanding and tools to be able to independently apply neural networks to real problems.

The lectures are partly based on material from the book "Deep Learning" by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Practices are based on the Stanford university course "Convolutional Neural Networks for Visual Recognition" by Andrej Karpathy, Justin Johnson and Fei-Fei Li.

Lectures:
Tuesdays 14:15 room 1019.

Practices:
Group 1: Wednesdays 10:15 room 2048.
Group 2: Thursdays 12:15 room 1008.

We will be using moodle as the main channel for this course timetable, assignments and others and zulip for communication between students and instructors, questions, etc. Please head to moodle as we will concentrate all the required information and resources relevant for the course there.