D
d2l-en
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
★29.3kstars
Python
NOASSERTION
Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Plugins, MCP & Skills category, core strengths: book/computer-vision
Who made it?Maintained by d2l-ai team, 29.3K⭐ on GitHub, #30 out of 2373 in Plugins, MCP & Skills
Why does it exist?With the growing demand for book and computer-vision in Plugins, MCP & Skills, d2l-ai created d2l-en as a streamlined solution.
What can it do?Key use cases: data-science, deep-learning, gaussian-processes
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/d2l-ai/d2l-en | 官网 https://D2L.ai
🔗 github.com/d2l-ai/d2l-en | 官网 https://D2L.ai
Topics
bookcomputer-visiondata-sciencedeep-learninggaussian-processeshyperparameter-optimizationjaxkagglekerasmachine-learningmxnetnatural-language-processingnotebookpythonpytorchrecommender-systemreinforcement-learningtensorflow