Course description

The course “Deep learning models” is a continuation of the discipline Fundamentals of machine learning (AM). Its main goal is to acquaint the student with modern machine learning problems and popular methods of solving them – deep neural networks. The course covers the following sections: Fundamentals of Machine Learning, Convolutional Neural Networks for Computer Vision Problems, and Modeling Sequences in Recurrent Neural Networks. When considering these topics, the main focus is on establishing the necessary mathematical apparatus for solving the tasks, researching the architectures of the corresponding neural networks, and using modern libraries and tools for programming these algorithms. The presentation of the material is carried out using current terms and concepts from the field of information technologies.