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README.md

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* [TensorFlow中RNN实现的正确打开方式](https://zhuanlan.zhihu.com/p/28196873)
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* [TensorFlow RNN 代码](https://zhuanlan.zhihu.com/p/27906426)
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* [Tensorflow实现的深度NLP模型集锦](https://zhuanlan.zhihu.com/p/67031035)
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* [nlp-tutorial](https://github.com/graykode/nlp-tutorial)
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### LSTM
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* [随机森林(Random Forest)入门与实战](https://blog.csdn.net/sb19931201/article/details/52601058)
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#### 支持向量机(SVM)  
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#### 支持向量机(SVM)
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* [SVM通俗导论 July(本文章是我看过最好的SVM导论)](https://github.com/Mikoto10032/DeepLearning/blob/master/books/%E6%94%AF%E6%8C%81%E5%90%91%E9%87%8F%E6%9C%BA%E9%80%9A%E4%BF%97%E5%AF%BC%E8%AE%BA%EF%BC%88%E7%90%86%E8%A7%A3SVM%E7%9A%84%E4%B8%89%E5%B1%82%E5%A2%83%E7%95%8C%EF%BC%89LaTeX%E6%9C%80%E6%96%B0%E7%89%88_2015.1.9.pdf)      
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* [Python3《机器学习实战》学习笔记(八):支持向量机原理篇之手撕线性SVM (SMO训练过程总结得清晰易懂)](https://blog.csdn.net/c406495762/article/details/78072313)      
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* [svm核函数的理解和选择](https://blog.csdn.net/leonis_v/article/details/50688766)

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