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, one of the most popular programming languages for statistical analysis.

With five real-world projects, including text generation and sentiment analysis, you'll learn how to train effective neural networks in R and apply them in practical scenarios.

The book covers popular R libraries and packages such as MXNetR, H2O, deepnet, and more, giving you a better understanding of deep learning techniques and how to use them in a practical setting.

By the end of this book, you'll have a solid foundation in deep learning and be able to apply it to a variety of domains.

Don't miss out on this opportunity to master deep learning with R - get your copy today!