2024/2025
Глубинное обучение
Статус:
Маго-лего
Когда читается:
1, 2 модуль
Онлайн-часы:
48
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Ратников Федор Дмитриевич
Язык:
английский
Кредиты:
6
Course Syllabus
Abstract
The proposed course is dedicated to the methods of "deep learning" — neural network methods of machine learning that have sparked a surge of development in several applied fields. Primarily, the course aims to develop students' skills in solving practical problems using deep neural networks.
In recent years, deep learning methods have firmly established themselves in various applied areas, such as:
- Computer Vision: recognizing visual patterns, segmentation, synthesizing images from text descriptions;
- Text Processing: sentiment analysis, question-answer systems, machine translation, large language models;
- Speech Processing: recognition, synthesis, classification of accents, tones, etc.;
- Robotics: optimizing behavior strategies, Reinforcement Learning.
In this course, students are briefly introduced to the applications of neural networks in all these