Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
A Chinese-language study guide for AI and machine learning job interview preparation, covering math, deep learning, computer vision, NLP, and algorithms through structured Markdown documents.
This repository is a Chinese-language study guide aimed at people preparing for technical job interviews in AI and machine learning. The title translates to "Deep Learning Interview Bible." It is a collection of documents organized by topic to help candidates review the knowledge areas most commonly tested in interviews at tech companies hiring for AI roles.
The guide is divided into sections covering mathematics, machine learning, deep learning, reinforcement learning, computer vision, traditional image processing, natural language processing, SLAM (a robotics and mapping topic), recommendation algorithms, data structures and algorithms, programming languages including C/C++ and Python, and popular deep learning frameworks. There is also a section on interview experience and interview tips.
The repository appears to be primarily a reading resource rather than runnable code. Most of the content lives in Markdown documents linked from the main index. There is also a mind map image showing the overall structure of the material.
The README includes a promotion for a paid WeChat group for AI job seekers, priced at 149 yuan per year, where members can ask questions and share resources. This paid community aspect is separate from the free GitHub content.
All content is written in Chinese, so the primary audience is Chinese-speaking students and professionals preparing for AI-related technical roles.
Where it fits
- Review key machine learning and deep learning topics before a technical AI job interview.
- Study algorithm and data structure questions commonly asked at tech companies hiring AI engineers.
- Use the included mind map to identify which topic areas to prioritize given limited preparation time.