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Regular version of the site
2024/2025

Neural Networks and Deep Learning

Type: Mago-Lego
When: 1, 2 module
Online hours: 20
Open to: students of all HSE University campuses
Language: English
ECTS credits: 6
Contact hours: 36

Course Syllabus

Abstract

Recently, deep learning has become a tool of choice for multiple problems in the fields of computer vision, robotics, biology, natural language processing, and many more. The technology is enabled by various milestones in computing and engineering, such as graphical processing units (GPU) and differentiable programming. Due to recent advances in open source software for deep learning, training a model has become a relatively simple exercise. However, the techniques used by researchers are fairly complicated. This course is focused on practical part of applying state-of-the-art techniques of deep learning on real-world problems. The course is based on popular and accessible MOOC called fast.ai and covers all the sections of the course with advice from machine learning practice.