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.

Filename	Size	Update
answer_o.npy	2621612	2019-05-23
main.py	8381	2019-05-27
models	0	2019-05-25
models\W--184-0.5949-.h5	73024168	2019-05-24
pad_answer.npy	8000128	2019-05-23
pad_index_to_word.pkl	550194	2019-05-23
pad_question.npy	8000128	2019-05-23
pad_word_to_index.pkl	550194	2019-05-23
simkai.ttf	11787328	2017-12-04
START.bat	80	2019-05-27
vocab_bag.pkl	420384	2019-05-23

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