GeeeekExplorer / AndrewNg-Deep-Learning
吴恩达深度学习编程作业原版和答案
☆97Updated 5 years ago
Alternatives and similar repositories for AndrewNg-Deep-Learning:
Users that are interested in AndrewNg-Deep-Learning are comparing it to the libraries listed below
- 吴恩达深度学习课程课后编程作业☆169Updated 4 years ago
- 《机器学习》(西瓜书)代码实战☆753Updated 4 months ago
- 李宏毅 (HUNG-YI LEE)机器学习作业思路代码分享☆168Updated 2 months ago
- deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link☆1,526Updated 6 years ago
- coursera中Andrew Ng的meachine learning的所有编程测验的原文件☆570Updated 6 years ago
- 李宏毅2021机器学习深度学习笔记PPT作业☆545Updated 3 years ago
- 李宏毅(Hung-yi Lee) 2022年春季机器学习课程,包括课件和作业,☆141Updated 2 years ago
- A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译☆242Updated 2 years ago
- 吴恩达深度学习2021年空白作业☆112Updated 3 years ago
- ☆115Updated 3 years ago
- Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题,个人解答。各算法都拿numpy和pandas实现了一遍☆1,519Updated 2 years ago
- 《动手学深度学习》习题解答,在线阅读地址如下:☆401Updated 7 months ago
- 浙江大学机器学习☆220Updated 3 years ago
- 本人的脑图笔记、CS229原始讲义、在学习过程中用到的其他大佬的资料☆46Updated 4 years ago
- 周志华-机器学习☆273Updated 4 years ago
- 吴恩达机器学习作业☆540Updated 11 months ago
- Solution to CS231n Assignments 2019☆206Updated 2 years ago
- Matlab Coding homework for Machine Learning☆1,931Updated 4 years ago
- 微专业: 吴恩达 深度学习工程师 作业☆201Updated 7 years ago
- 深度学习 李宏毅 2021 学习笔记☆1,551Updated last year
- 浙江大学胡浩基《机器学习》代码☆193Updated 2 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☆1,809Updated 6 months ago
- AI Pacman, CS188 2019 summer version (Completed), original website:☆86Updated 4 years ago
- CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit☆487Updated 7 years ago
- 《机器学习》周志华 (西瓜书) 练习☆57Updated 6 years ago
- 《神经网络与深度学习》课后习题答案-分享讨论☆726Updated 4 years ago
- Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。☆831Updated 4 years ago
- 西瓜书,课后习题☆130Updated 3 years ago
- Kaggle 项目实战(教程) = 文档 + 代码 + 视频☆94Updated 6 years ago
- Homework of Machine Learning Taught by Hy Lee, 2022-2023. Most of the code has reached boss baseline.☆57Updated 7 months ago