Dl2024
Deep Learning Course, Skoltech, 2024
Install / Use
/learn @oseledets/Dl2024README
| Week | Lecture notebooks | Supplementary materials | Homework | Seminars | |:------:|:------------------|:-----------------------:|:---------:|:---------| | 1 | Lecture 1. Deep learning basics [GitHub] <br> Lecture 2. Convolutional neural networks [GitHub] | | See canvas | Backpropagation seminar [GitHub] <br> JAX autodiff tutorial [GitHub] | | 2 | Lecture 3. Training better [GitHub] <br> Lecture 4. CV task [GitHub] | | | | | 3 | Lecture 5. Modelling sequences [GitHub] <br> Lecture 6. Vision transformers [GitHub] | | | | | 4 | Lecture 7. General tricks for efficient training [GitHub] <br> Lecture 8. Training larger models [GitHub]| | | |
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