Deep Learning with R for Beginners

Preface

Deep learning finds practical applications in several domains and R is a preferred language to design and deploy deep learning models. This Learning Path introduces you to the basics of deep learning and teaches you to build a neural network model from scratch. As you make your way through the concepts, you’ll explore deep learning libraries and create deep learning models for a variety of problems, such as anomaly detection and recommendation systems. You’ll cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud. Before it ends, this Learning Path teaches you advanced topics, such as model optimization, overfitting, and data augmentation. Through real-world ...