Mlds deep leaning 2021 2022
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Версия от 21:53, 16 апреля 2022; SavelyProkhorov (обсуждение | вклад)
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 |