The approach we present is based on Artificial Neural Networks (ANNs) which previously have been successfully applied in many contexts such as Image recognition and Natural Language Processing. As we shall see later in the series, this fairly modern technique has the potential to improve the accuracy of more traditional methods.
The first article in the series therefore introduces ANNs in terms of how they are defined and what considerations to make when training them.
