The purpose of this paper is to create a ‘back to basics’ approach to designing Deep Learning solutions. The intention is not to create the most predictive model, nor is it to use the latest and greatest techniques (such as convolution or recursion); but the intention is to create a basic neural network, from scratch, using no frameworks, and to walk through the methodology.
