Fafa-DL / Lhy_Machine_LearningLinks
李宏毅2021/2022/2023春季机器学习课程课件及作业
☆7,003Updated 2 years ago
Alternatives and similar repositories for Lhy_Machine_Learning
Users that are interested in Lhy_Machine_Learning are comparing it to the libraries listed below
Sorting:
- 深度学习 李宏毅 2021 学习笔记☆1,635Updated 2 years ago
- ✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。☆2,948Updated 2 years ago
- **Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring☆2,516Updated 3 years ago
- PyTorch深度学习快速入门教程(绝对通俗易懂!)☆4,012Updated last month
- Notes about courses Dive into Deep Learning by Mu Li☆3,749Updated 2 years ago
- PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/☆3,508Updated 2 weeks ago
- 李宏毅2021机器学习深度学习笔记PPT作业☆600Updated 4 years ago
- deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link☆1,754Updated 7 years ago
- 吴恩达机器学习作业☆697Updated last year
- 一本系统地教你将深度学习模型的性能最大化的战术手册。☆3,149Updated 2 years ago
- 吴恩达机器学习课程的讲义,欢迎大家一起学习☆1,515Updated 6 years ago
- 同济子豪兄的公开课☆1,746Updated 10 months ago
- 《Pytorch模型训练实用教程》中配套代码☆8,035Updated last year
- 《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases☆16,286Updated 2 months ago
- 总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力☆7,453Updated 3 years ago
- Pytorch🍊🍉 is delicious, just eat it! 😋😋☆6,146Updated 11 months ago
- Matlab Coding homework for Machine Learning☆2,018Updated 5 years ago
- 机器学习方法习题解答,在线阅读地址:https://datawhalechina.github.io/statistical-learning-method-solutions-manual☆2,013Updated last week
- ☆4,589Updated last year
- coursera中Andrew Ng的meachine learning的所有编程测验的原文件☆585Updated 7 years ago
- 《神经网络与深度学习》案例与实践☆1,178Updated 3 years ago
- 温州大学《机器学习》课程资料(代码、课件等)☆2,036Updated 4 months ago
- **Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring☆982Updated 2 years ago
- Pytorch版代码幻灯片☆768Updated 2 years ago
- 李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring☆82Updated 4 years ago
- 吴恩达深度学习课程课后编程作业☆196Updated 5 years ago
- 机器学习算法的公式推导以及numpy实现☆2,118Updated 2 years ago
- Learning materials of Transformer, including my code, XMind, PDF and so on☆479Updated 4 years ago
- Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现☆7,538Updated 5 years ago
- My personal notes☆1,773Updated 3 years ago