Book Image

R Deep Learning Essentials. - Second Edition

By : Mark Hodnett, Joshua F. Wiley
Book Image

R Deep Learning Essentials. - Second Edition

By: Mark Hodnett, Joshua F. Wiley

Overview of this book

Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem. This book will introduce you to the basic principles of deep learning and teach you to build a neural network model from scratch. As you make your way through the book, you will explore deep learning libraries, such as Keras, MXNet, and TensorFlow, and create interesting deep learning models for a variety of tasks and problems, including structured data, computer vision, text data, 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. In the concluding chapters, you will learn about the theoretical concepts of deep learning projects, such as model optimization, overfitting, and data augmentation, together with other advanced topics. By the end of this book, you will be fully prepared and able to implement deep learning concepts in your research work or projects.
Table of Contents (13 chapters)

Using AWS for deep learning

AWS is the biggest cloud provider, and so it deserves our attention. If you know how to use AWS and especially if you are familiar with spot requests, it can be a very cost-effective method to train complex deep learning models.

A brief introduction to AWS

This section gives you a brief introduction to how AWS works. It describes EC2, AMIs, and how to create a virtual machine in the cloud. This will not be an exhaustive introduction to AWS there are plenty of tutorials online that will guide you.

AWS is a suite of cloud resources. Another term for it is Infrastructure as a Service (IaaS), as opposed to Software as a Service (SaaS) or Platform as a Service (PaaS). In IaaS, as opposed to...