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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
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
梯度下降代码举例:Gradient Descent Demo(Adagrad)
Gradient Descent Demo(Adagrad)
GPL-2.0
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