Sentiment analysis – model implementation

We have seen all the bits and pieces of how to implement a stacked version of the LSTM variation of RNNs. To make things a bit exciting, we are going to use a higher level API called Keras.

Keras

"Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research." – Keras website

So, Keras is just a wrapper around TensorFlow and other deep learning frameworks. It's really good for prototyping and getting things built very quickly, but on the...