Магистратура
2024/2025
Нейронные сети и глубокое обучение
Статус:
Курс по выбору (Бизнес-аналитика и системы больших данных)
Направление:
38.04.05. Бизнес-информатика
Кто читает:
Департамент бизнес-информатики
Где читается:
Высшая школа бизнеса
Когда читается:
2-й курс, 1, 2 модуль
Формат изучения:
с онлайн-курсом
Онлайн-часы:
20
Охват аудитории:
для всех кампусов НИУ ВШЭ
Прогр. обучения:
Бизнес-аналитика и системы больших данных
Язык:
английский
Кредиты:
6
Контактные часы:
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.