Classification with Keras

For our experiments, we will be using the IMDB sentiment classification task. This is quite the small dataset - we are using it for the convenience of loading it and using it, as it is easily available via Keras. It is very important to understand here that for datasets of the size we are using, it is not the best idea to use a Deep Neural Network for classification - indeed, we might even get better results with a simple bag of words followed by a Support Vector Machine (SVM) doing the classification. The purpose of the following examples is to rather allow the user to understand how to construct a neural network using Keras, and how to make predictions using it. The fine tuning of the neural network and studying its hyperparameters is a different ball game altogether and is not the focus of this chapter. Another thing to remember when working with text data and neural networks is that in almost all cases, more data is better and that neural networks are far better...