shliang0603 / Awesome-DeepLearning-500FAQ
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。声明:所有内容来自(仅供学习):https://github.com/scutan90/DeepLearning-500-questions
☆610Updated 5 years ago
Alternatives and similar repositories for Awesome-DeepLearning-500FAQ:
Users that are interested in Awesome-DeepLearning-500FAQ are comparing it to the libraries listed below
- 🎯 AI Zero to Hero 👑☆681Updated 3 weeks ago
- 《深度学习》花书手推笔记☆498Updated 4 years ago
- 统计学习方法习题解答,在线阅读地址:https://datawhalechina.github.io/statistical-learning-method-solutions-manual☆1,850Updated 7 months ago
- 《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。☆1,613Updated 3 weeks ago
- Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。☆840Updated 4 years ago
- numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法☆232Updated 5 years ago
- 机器学习算法的公式推导以及numpy实现☆2,077Updated last year
- 算法工程师-机器学习面试题总结☆1,489Updated 5 years ago
- ☆511Updated 3 years ago
- 机器学习面试复习资源☆1,167Updated last year
- 📒统计学习方法-李航: 笔记-从原理到实现, 200-page PDF Notes with detailed explanations of various math formulas, implemented in R.🎉☆445Updated 2 months ago
- Mathematical derivation and pure Python code implementation of machine learning algorithms.☆1,529Updated 7 months ago
- 动手学CV-Pytorch版☆903Updated last year
- Matplotlib中文教程,在线阅读地址:https://datawhalechina.github.io/fantastic-matplotlib/☆484Updated 2 years ago
- Classic papers for beginners, and impact scope for authors.☆299Updated 2 years ago
- 《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!☆1,109Updated 4 years ago
- [译] ApacheCN 数据科学译文集☆313Updated 2 years ago
- 深度学习工程师生存指南☆888Updated 3 months ago
- notes of machine learning algorithm derivation☆773Updated 5 years ago
- 经典机器学习算法的极简实现☆183Updated 5 months ago
- Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现☆1,173Updated 2 years ago
- 算法理论基础知识应知应会☆2,562Updated 2 years ago
- 记录一些读过的论文,给出个人对论文的评分情况并简述论文insight☆161Updated 2 years ago
- ApacheCN 深度学习译文集☆826Updated 2 years ago
- 主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。☆831Updated last year
- 清华大学计算机学科推荐学术会议和期刊列表☆934Updated last year
- awesome material☆364Updated 6 years ago
- 《统计学习方法》的代码实现☆86Updated 6 years ago
- 《深入浅出 PyTorch——从模型到源码》源代码和勘误(见Issues)☆338Updated 2 years ago
- Enhance Your English Writing for Science Research 写论文英语素材☆1,128Updated 7 months ago