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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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@@ -698,7 +699,7 @@ ______
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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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