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！
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.
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
4_Where does the error come from
11_Convolutional Neural Network part1
12_Convolutional Neural Network part2
梯度下降代码举例：Gradient Descent Demo(Adagrad)
Gradient Descent Demo(Adagrad)
GPL-2.0
图片加载可能会有些许缓慢，请耐心等待\(^o^)/
最近打算创建一个微信公众号用于分享我在浙江大学计算机学院学习期间所记录的知识笔记和项目，暑假开始长期更新(也包括这个未完成的ML笔记)，欢迎大家关注公众号"Sakura的知识库"
