Neural Networks with Keras in R: A QuickStart Guide

by Michael Harris, Samantha Langley (Editor)

This book is intended for people who are involved in performing data analysis in some capacity, and want to expand into making predictions with neural networks using Keras. Knowledge of R programming is not assumed and much of the book is dedicated to teaching enough R to quickly get you started using Keras. In addition to an overview of R programming, constructing complex neural networks with multiple outcome variables will be demonstrated. More specifically, regression, binary classification, and multiclass classification are covered using an example data set. Convolutional neural networks, time-series models, and natural language processing models are not covered. However, this book provides a suitable foundation in R programming and Keras to simplify the transition to those more advanced methods.

103 pages, Kindle Edition

Published October 9, 2022

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