Deep Learning with R

The Keras framework is one of the most flexible ways to construct a neural network in R. In this book, the creator of Keras (Francois Chollet) describes a variety of deep learning methods at a conceptual level and then implements them in code. You can expect to learn about basic neural networks that solve a regression or classification problem, as well as advanced topics. These advanced topics include image classification (like MNIST), natural language processing, and general time-series models. Additionally, effort is spent in telling the reader about some “best practices” when it comes to network architecture, such as when dropping neurons may be beneficial. If you are a somewhat experienced R user interested in deep learning, this is certainly an amazing guide to constructing pretty amazing models. If you are interested in checking this book out, here is a commissioned link to the book: https://amzn.to/3MgSaAt.