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history = model.fit_generator(train_generator, epochs=20, callbacks=[evaluate], workers=5, use_multiprocessing=False)
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```
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@@ -127,7 +118,7 @@ If you're interested in the cutting-edge research progress, please take a look a
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## Install
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MatchZoo is dependent on [Keras](https://github.com/keras-team/keras), please install one of its backend engines: TensorFlow, Theano, or CNTK. We recommend the TensorFlow backend. Two ways to install MatchZoo:
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MatchZoo is dependent on [Keras](https://github.com/keras-team/keras) and [Tensorflow](https://github.com/tensorflow/tensorflow). Two ways to install MatchZoo:
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**Install MatchZoo from Pypi:**
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```
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## Models:
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## Models
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1.[DRMM](https://github.com/NTMC-Community/MatchZoo/tree/master/matchzoo/models/drmm.py): this model is an implementation of <ahref="http://www.bigdatalab.ac.cn/~gjf/papers/2016/CIKM2016a_guo.pdf">A Deep Relevance Matching Model for Ad-hoc Retrieval</a>.
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