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 Azure for deep learning

Azure is the brand name for Microsoft's cloud services. You can use Azure for deep learning and, similar to AWS, it provides deep learning virtual machines that is pre-configured with deep learning libraries installed. In this example, we are going to create a Windows instance that can be used for Keras or MXNet. This assumes that your local computer is also a Windows computer, as you will be using Remote Desktop Protocol (RDP) to access the cloud instance.

  1. The first step is to create an account in Azure and then log in to Azure at https://portal.azure.com. You will see a screenshot similar to the following. Click Create a resource and search for Deep Learning Virtual Machine:
Figure 10.20: Azure portal website
  1. When you select Deep Learning Virtual Machine, the following screen will appear. Click Create:
Figure 10.21: Provisioning a deep...