Neural Networks (LTAT.02.001)

Important: The first lecture is on 11.02.2025. Please note that during first week there will be no practice sessions. Check the tab Timetable for a detailed schedule.

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:
No Practices for the first week!
Group 1: Wednesdays 10:15 online in Zoom: Please log in here on this course homepage to see the link for online participation.
Group 2: Thursdays 12:15 room 1022

We will be using Campuswire for communication between students and instructors, questions, etc. If you are registered to the course, you will receive an invitation link to it. In the case that for some reason you don't, please contact one of the teaching assistants (contacts are in this page) or use this link to join the forum.

Grading

• Practice test 1 will give 30 points.
• Practice test 2 will give 30 points.
• You will have the option to choose whether to take on a project or suggested challenges towards the end of the course. They will give up to 40 points. More information coming soon.
• Homeworks bonuses and participation in the lecture assignments will give up to 10 points of the final grade in bonus (extra) points. Details are to be determined and will be explained in the practice session.

To pass the course you are required to get at least get 50% of EACH component (tests and project/challenges).

Contacts

Lecturers:

• Raul Vicente, raulvicente@gmail.com
• Kallol Roy, kallol.roy@ut.ee
  

and teaching assistants:

• Jesus Torres, jesus.javier.reyes.torres@ut.ee
• Marharyta Domnich, marharyta.domnich@ut.ee
• Victor Pinheiro, victor.pinheiro@ut.ee
• External TA: Artem Domnich domnich.artem@gmail.com