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chatbot

于 2019-06-21 发布 文件大小:56616KB
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  聊天机器人 原理: 严谨的说叫 ”基于深度学习的开放域生成对话模型“,框架为Keras(Tensorflow的高层包装),方案为主流的RNN(循环神经网络)的变种LSTM(长短期记忆网络)+seq2seq(序列到序列模型),外加算法Attention Mechanism(注意力机制),分词工具为jieba,UI为Tkinter,基于”青云“语料(10万+闲聊对话)训练。 运行环境:python3.6以上,Tensorflow,pandas,numpy,jieba。(Chat Robot Principle: Strictly speaking, it is called "Open Domain Generation Dialogue Model Based on Deep Learning". The framework is Keras (High-level Packaging of Tensorflow). The scheme is LSTM (Long-term and Short-term Memory Network)+seq2seq (Sequence to Sequence Model), plus Attention Mechanism (Attention Mechanism). The word segmentation tool is Jieba and the UI is Tkinter. Based on "Qingyun" corpus (100,000 + chat dialogue) training. Running environment: Python 3.6 or more, Tensorflow, pandas, numpy, jieba.)

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