Mlds deep leaning 2021 2022
Материал из Wiki - Факультет компьютерных наук
Description
Deep learning course for HSE Master’s Programme "Machine Learning and Data-Intensive Systems"
This course is strongly based on materials from other great HSE DL courses:
1.https://github.com/hse-ds/iad-deep-learning
2.https://github.com/yandexdataschool/Practical_DL
All used materials from other cources has corresponding references.
grades Your Grade = round(0.3 * hw_1 + 0.3 * hw_2 + 0.3 * hw_3 + 0.1 * exam)
Also, some weeks contain additional homeworks with extra points
Link to course playlist on YouTube: https://www.youtube.com/playlist?list=PLmA-1xX7IuzBVeu30nVOscRJ4Xqazk-BY
Deadlines
The deadline for completing homework will be announced along with the homework.
Deadline for every extra homework **is next seminar**.
Syllabus
Неделя | Тема |
---|---|
1 | Introduction to DL and backpropagation |
2 | DL libraries |
3 | Convolutional neural networks |
4 | Modern architectures of convolutional neural networks |
5 | Metric learning |
6 | Autoencoders and generative models |
7 | Introduction to text processing |
8 | Recurrent neural networks, seq2seq tasks |
9 | Attention mechanisms and transformers |
10 | Basics of sound processing |
11 | Recommendation systems |
12 | Graph models |
13 | Reinforcement Learning |
14 | Additional deep Learning topics |