《深度学习进阶-自然语言处理》-【日】斋藤康毅著。个人学习整理简单笔记，欢迎一起学习探讨, 小白一枚，希望寻找小伙伴一起学习指点迷津。本库为个人学习整理，欢迎批评指正。
《深度学习进阶-自然语言处理》-【日】斋藤康毅著。个人学习整理简单笔记。本库为个人学习整理，欢迎批评指正。
《深度学习进阶：自然语言处理》是《深度学习入门：基于Python 的理论与实现》的续作，围绕自然语言处理和时序数据处理，介绍深度学习中的重要技术，包括word2vec、RNN、LSTM、GRU、seq2seq 和Attention 等。本书语言平实，结合大量示意图和Python代码，按照“提出问题”“思考解决问题的新方法”“加以改善”的流程，基于深度学习解决自然语言处理相关的各种问题，使读者在此过程中更深入地理解深度学习中的重要技术。
第 1 章 神经网络的复习
第 2 章 自然语言和单词的分布式表示
第 3 章 word2vec
第 4 章 word2vec的高速化
第 5 章 循环神经网络
第 6 章 Gated RNN
第 7 章 基于 RNN 生成文本
第 8 章 Attention
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