Deep Learning - May 2025
15.05.2025
0 Weeks
In this course, participants will get acquainted with the basics - theoretical and practical - of neural networks, what problems we encounter, how we solve them and how we ensure the correct operation of our models. Along with this, it will be explored how, with the help of abstraction and combining building blocks, students will be able to build, train and test complex architectures. They will understand the basic principles behind modern research and applications of neural networks, how to follow their principles and how to create their own, original solutions. Participants will look at the cases in which deep neural networks find the greatest application - working with images and natural languages, and will understand how generative models work and how to teach a model to make autonomous decisions.