Implementing four neural networks for multi-class text classification problems

In this post, I will show four different neural networks which could be applied to multi-class text classification problems. 

  • CNN, Convolutional Neural Networks
  • LSTM, Recurrent Neural Networks / Long Short Term Memory
  • BLSTM, Bidirectional LSTM
  • CLSTM, Convolutional LSTM

And I will implement them in Tensorflow.

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Hello World!

Code highlights test:

# This is a test
import __hello__
outstr = 'Life is short, use python.'

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