Comments (6)
yunhuang1241
commented on May 2, 2024
建议在coursera上学习吴恩达老师的机器学习课程，里面有配套的编程作业并且可以在线提交编程作业
from coursera-ml-andrewng-notes.
wangpy999
commented on May 2, 2024
ok，I get it
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sai-meago
commented on May 2, 2024
建议在coursera上学习吴恩达老师的机器学习课程，里面有配套的编程作业并且可以在线提交编程作业
你好，我在coursera 上观看教程时视频打不开，是已经下线了吗？
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zhangxiann
commented on May 2, 2024
建议在coursera上学习吴恩达老师的机器学习课程，里面有配套的编程作业并且可以在线提交编程作业
你好，我在coursera 上观看教程时视频打不开，是已经下线了吗？
需要翻墙
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zhangxiann
commented on May 2, 2024
建议在coursera上学习吴恩达老师的机器学习课程，里面有配套的编程作业并且可以在线提交编程作业
谢谢你
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sai-meago
commented on May 2, 2024
建议在coursera上学习吴恩达老师的机器学习课程，里面有配套的编程作业并且可以在线提交编程作业
你好，我在coursera 上观看教程时视频打不开，是已经下线了吗？
需要翻墙
明白了，，非常感谢
from coursera-ml-andrewng-notes.
Related Issues (20)
- ML-Exercise2中正则化代价函数的说明问题 HOT 8
- 练习4中加入正则化的反向传播函数 HOT 5
- 在线笔记链接挂了 HOT 4
- PPT Lecture4.pptx 有书写错误，紫色标识 HOT 1
- Incomplete code for Exercise 2 (Logistic Regression), Regularization HOT 4
- excuse me but is there an original version in English? it would be so nice. A million thanks! HOT 4
- 请问是否有吴恩达老师的AI for medicine的课件呢 HOT 1
- 4.2 的内容应该放在 4.6 后面
- code/ex6-SVM/3- search for the best parameters.ipynb 参数的位置反了
- 1. logistic_regression_v1.ipynb
- 1
- ex5-biasVSvariance的练习中moduleTNC.minimize报错
- ex1中代价函数中 * 似乎应该改为 @
- 笔记在线阅读建议添加返回按键 HOT 1
- ML-Exercise2.ipynb正则化逻辑回归创建特征多项式小修改 HOT 1
- 提取码错误 HOT 1
- 9.2 代价函数正则项中s_l +1 应该为 s_(l+1)
- 个人笔记 v5.51-A4 打印版 PDF 中的 7.3 正则化线性回归 HOT 6
- ml HOT 3
- exp4: 为什么计算第三层参数的梯度时，不需要乘sigmoid_gradient(z3) HOT 2
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