This repository provides comprehensive theoretical materials for Qiu Xipeng's "Neural Networks and Deep Learning" book series, including the 2nd edition ("Dandelion Book") and an upcoming General Edition. It serves as a valuable resource for students, researchers, and practitioners seeking in-depth knowledge of deep learning concepts, offering structured content, exercises, and errata.

How It Works

The project organizes its content by book edition, with distinct directories for the published 2nd edition (nndl-v2/) and the forthcoming General Edition (nndl-ge/). It also archives materials for the 1st edition (legacy/nndl-v1/). Content is structured around chapters, exercises, and errata. Metadata files (_meta.yml) are utilized to aggregate book information, powering the project's main website (nndl.github.io).

Quick Start & Requirements

This repository primarily serves as a content archive and does not offer direct installation or execution commands. However, it links to companion repositories for practical implementation: nndl-practice (PyTorch/Paddle) and llm-agent (large models and agents). The main website (nndl.github.io) provides access to the compiled book content.

Highlighted Details

• Offers complete theoretical content, exercises, and errata for multiple editions of a key deep learning textbook.
• Companion repositories provide practical code examples and explore advanced topics like LLMs and agents.
• Metadata-driven website generation ensures a structured and accessible online presence for the book series.
• Content is organized for systematic learning and reference, covering foundational to advanced deep learning topics.

Maintenance & Community

The provided README does not detail specific contributors, sponsorships, or community channels (e.g., Discord, Slack). However, the existence of multiple related GitHub repositories suggests ongoing development and community engagement around the book series.

Licensing & Compatibility

No specific licensing information is provided within the README. Potential users should investigate licensing terms before integrating or distributing any content.

Limitations & Caveats

This repository focuses on hosting book materials and is not a runnable software project. The General Edition content is marked as "upcoming" (2026), indicating it is not yet complete. No specific limitations, known bugs, or deprecation notices are mentioned in the provided text.