This document provides an overview of neural networks in R. It begins with recapping logistic regression and decision boundaries. It then discusses how neural networks allow for non-linear decision boundaries through the use of intermediate outputs and multiple logistic regression models. Code examples are provided to demonstrate building neural networks with intermediate outputs to classify data with non-linear decision boundaries.