R Deep Learning Projects: Master the techniques to design and develop neural network models in R

This book is a comprehensive guide to mastering deep learning concepts using R programming language.

With five real-world projects, you'll learn how to implement effective neural networks in R, including convolutional neural networks, recurrent neural networks, and LSTMs.

The book also covers GPU capabilities and popular R libraries and packages such as MXNetR, H2O, deepnet, and more.

By the end of this book, you'll have a better understanding of deep learning concepts and techniques and how to use them in a practical setting.

Whether you're a beginner or an experienced practitioner, this book is perfect for anyone looking to expand their knowledge and skills in deep learning using R programming language.