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Deep Learning with R for Beginners

You're reading from   Deep Learning with R for Beginners Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

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Product type Course
Published in May 2019
Publisher Packt
ISBN-13 9781838642709
Length 612 pages
Edition 1st Edition
Languages
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Authors (4):
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Mark Hodnett Mark Hodnett
Author Profile Icon Mark Hodnett
Mark Hodnett
Pablo Maldonado Pablo Maldonado
Author Profile Icon Pablo Maldonado
Pablo Maldonado
Joshua F. Wiley Joshua F. Wiley
Author Profile Icon Joshua F. Wiley
Joshua F. Wiley
Yuxi (Hayden) Liu Yuxi (Hayden) Liu
Author Profile Icon Yuxi (Hayden) Liu
Yuxi (Hayden) Liu
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Toc

Table of Contents (23) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Getting Started with Deep Learning FREE CHAPTER 2. Training a Prediction Model 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. Handwritten Digit Recognition using Convolutional Neural Networks 13. Traffic Signs Recognition for Intelligent Vehicles 14. Fraud Detection with Autoencoders 15. Text Generation using Recurrent Neural Networks 16. Sentiment Analysis with Word Embedding 1. Other Books You May Enjoy Index

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 $149,000!

If you are considering using your own computer for deep learning, then one of the following applies to you:

  • You...
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