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2017
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Tensorflow_note_2

基于cs20si的Tensorflow笔记，课程主页；本节主要内容：Basic Operations, Constants, Variables, Control Dependencies, Feeding inputs, TensorBoard

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Tensorflow_note_1

基于cs20si的Tensorflow笔记，课程主页；本节主要内容：Graphs and Sessions

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NLPNLG

RNNLG

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

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RNNLG

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

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Sequential Minimal Optimization

序列最小最优化(sequential minimal optimization, SMO)算法是支持向量机的学习算法，本文主要讲解了SMO算法，并且实现了一个简单基于SMO的SVM demo，最后简要了解封装SVM的scikit-learn库。

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Machine Learning

Sequential Minimal Optimization

序列最小最优化(sequential minimal optimization, SMO)算法是支持向量机的学习算法，本文主要讲解了SMO算法，并且实现了一个简单基于SMO的SVM demo，最后简要了解封装SVM的scikit-learn库。

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本周进展

1. 确定了（状态，动作，奖励，下一状态，对话是否结束）的组成，即训练数据： 状态：每次的状态针对于用户说完一句话 123456789101112131415161718192021222324252627282930313233343536373839404142{ 'agent_action': { # 针对于agent的话 'req

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Python处理excel

摘要：本文主要记录一下Python处理excel表格的一些常用包，包括读取模块xlrd,写入模块xlwt和xlsxwriter