ML-notes
notes about machine learning
很喜欢一句话：应用之道，存乎一心，与大家共勉
ps：如果我的笔记对你有帮助，给个star叭！查看机器学习笔记的PDF订阅版(301页)以及更多计算机相关笔记，欢迎大家关注微信公众号"Sakura的知识库"~
ML-Assignments
ML配套Assignments (ppt+code)：https://github.com/Sakura-gh/ML-assignments
内容包括：Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning.
pages
the github page is: https://Sakura-gh.github.io/ML-notes
you can also visit gitee page for quicker Internet in China: https://Sakura-gh.gitee.io/ml-notes
html链接：
4_Where does the error come from
11_Convolutional Neural Network part1
12_Convolutional Neural Network part2
16_Unsupervised Learning Introduction
17_Unsupervised Learning PCA part1
18_Unsupervised Learning PCA part2
20_Unsupervised Learning Word Embedding
21_Unsupervised Learning Neighbor Embedding
22_Unsupervised Learning Deep Auto-encoder
23_Unsupervised Learning Generation
26_Recurrent Neural Network part1
27_Recurrent Neural Network part2
csdn博客链接：
梯度下降代码举例：Gradient Descent Demo(Adagrad)
代码链接：
Gradient Descent Demo(Adagrad)
LICENSE：
GPL-2.0
温馨提示：
图片加载可能会有些许缓慢，请耐心等待\(^o^)/
赞赏作者：
如果读后有收获，请作者喝杯咖啡吧，您的支持就是我最大的更新动力~
PDF订阅版：
关注公众号“Sakura的知识库”可订阅：
ML GPU：
