Advanced Deep Learning with R

Deep Neural Networks for Multi-Class Classification

When developing prediction and classification models, depending on the type of response or target variable, we come across two potential type of problems: the target variable is of categorical type (this is a classification type of problem) or the target variable is of a numeric type (this is a regression type of problem). It has been observed that about 70% of the data belongs to problems arising from classification categories and the remaining 30% are regression problems (here is the reference: https://www.topcoder.com/role-of-statistics-in-data-science/). In this chapter, we will provide steps for applying deep learning neural networks for classification problems. The steps are illustrated ...