Implementation of SimpleRNN, GRU, and LSTM Models in Keras and Tensorflow For an NLP Project
There is once again an emphasis on recurring neural network (RNN) in this article but:
That’s when Long Short Term Memory (LSTM) or Gated Recurrent Unit (GRU)helps. Both of them are more advanced versions of simple RNN. Explaining their mechanisms is out of the scope of this article. My focus for this article is to show how to implement them in TensorFlow.
TensorFlow is the standard framework with Python for machine learning. Sorry, I don’t make the rules!
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