mariyatikhonova/hse_mlds_deep_learning_course

Deep learning course for HSE Master’s Programme "Machine Learning and Data-Intensive Systems" [videos]

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.

Grading [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

Homeworks

Submission

All homework assignments should be uploaded to Colab you just need to send me a link. It is also better to name the files like this:

"{surname}__hw_{number}.ipynb" or "{surname}__ehw_{week_number}.ipynb" (for extra homeworks).

Deadlines

The deadline for completing homework will be announced along with the homework.

Deadline for every extra homework is next seminar.

Syllabus

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