yandexdataschool/Practical_DL resource

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1756 stars · 653 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A deep learning course repository co-developed by YSDA, HSE and Skoltech, containing weekly lecture notes, seminar notebooks, and homework assignments. Materials are Jupyter notebooks runnable locally or in Google Colab, covering topics from backpropagation to CNNs and generative models.

Use cases

• learn deep learning from scratch
• practice building neural networks in numpy and pytorch
• find course materials for convolutional neural networks
• complete homework assignments on backpropagation and optimization
• study generative models and autoencoders
• self-study a university-level deep learning course

When to choose

• you want structured weekly course materials with hands-on notebooks
• you prefer learning via Colab without local setup
• you want free MIT-licensed university course content

When to avoid

• you need production deep learning tooling rather than educational materials
• you want a maintained library with API stability guarantees
• you need materials in a language other than English/Russian

Facets

learning-resource · maturity active

deep-learning machine-learning developer-tools deep-learning machine-learning tutorials education python cross-platform jupyter-notebooks pytorch course-materials seminars homework

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