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R Deep Learning Essentials

You're reading from   R Deep Learning Essentials A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788992893
Length 378 pages
Edition 2nd Edition
Languages
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Authors (2):
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Joshua F. Wiley Joshua F. Wiley
Author Profile Icon Joshua F. Wiley
Joshua F. Wiley
Mark Hodnett Mark Hodnett
Author Profile Icon Mark Hodnett
Mark Hodnett
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Deep Learning 2. Training a Prediction Model FREE CHAPTER 3. Deep Learning Fundamentals 4. Training Deep Prediction Models 5. Image Classification Using Convolutional Neural Networks 6. Tuning and Optimizing Models 7. Natural Language Processing Using Deep Learning 8. Deep Learning Models Using TensorFlow in R 9. Anomaly Detection and Recommendation Systems 10. Running Deep Learning Models in the Cloud 11. The Next Level in Deep Learning 12. Other Books You May Enjoy

Setting up a local computer for deep learning

At the time of writing this book, it is possible to purchase a computer with a GPU card suitable for deep learning for under $1,000. The current on-demand cost of the cheapest GPU computer on AWS is $0.90 per hour, which is equivalent to using the machine constantly for 46 days. So, if you are just starting with deep learning, cloud resources are the cheapest way to begin. Once you have learned the basics, then you may decide to get a GPU-based computer, but even then you may continue using cloud resources for deep learning. You have much more flexibility in the cloud. For example, in AWS, you can get a p3.16xlarge machine with 8 Tesla V100 GPU cards for an on-demand price of $24.48 per hour. An equivalent box is the DGX-1 from NVIDIA (https://www.nvidia.com/en-us/data-center/dgx-1/), which has 8 Tesla V100 GPU cards and costs $149...

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