harleyszhang/dl_note
深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。
This project provides comprehensive notes and practical guidance for deep learning practitioners, especially those working with computer vision and large language models. It covers foundational math, neural network components, model training strategies, compression algorithms, and deployment techniques. The content aims to help deep learning engineers and researchers effectively build, optimize, and deploy their AI models.
513 stars.
Use this if you are a deep learning engineer or researcher looking for detailed, practical notes and a self-built inference framework course to enhance your understanding and skills in building and optimizing AI models, especially in computer vision and large language models.
Not ideal if you are a beginner with no prior exposure to deep learning concepts and are looking for a gentle introduction to the field.
Stars
513
Forks
70
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 11, 2025
Commits (30d)
0
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