yandexdataschool/Practical_DL
A university deep learning course with weekly lectures, seminars, and homework assignments covering neural networks, CNNs, and computer vision.
Not currently ranked — collecting fresh signals.
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This repository provides course materials for a deep learning curriculum developed by YSDA, HSE, and Skoltech. The course includes weekly lecture and practice materials covering topics such as backpropagation, adaptive optimization methods, dropout, batch normalization, convolutional neural networks, and computer vision tasks. Assignments are designed to be completed locally or in Google Colab, with PyTorch used as the primary framework for deep learning exercises.
Frequently asked
- What is yandexdataschool/Practical_DL?
- A university deep learning course with weekly lectures, seminars, and homework assignments covering neural networks, CNNs, and computer vision.
- Is Practical_DL open source?
- Yes — yandexdataschool/Practical_DL is open source, released under the MIT license.
- What language is Practical_DL written in?
- yandexdataschool/Practical_DL is primarily written in Jupyter Notebook.
- How popular is Practical_DL?
- yandexdataschool/Practical_DL has 1.8k stars on GitHub.
- Where can I find Practical_DL?
- yandexdataschool/Practical_DL is on GitHub at https://github.com/yandexdataschool/Practical_DL.