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Deep Learning with TensorFlow 2 and Keras

You're reading from   Deep Learning with TensorFlow 2 and Keras Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838823412
Length 646 pages
Edition 2nd Edition
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Authors (3):
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Dr. Amita Kapoor Dr. Amita Kapoor
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Dr. Amita Kapoor
Sujit Pal Sujit Pal
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Sujit Pal
Antonio Gulli Antonio Gulli
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Antonio Gulli
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Table of Contents (19) Chapters Close

Preface 1. Neural Network Foundations with TensorFlow 2.0 2. TensorFlow 1.x and 2.x FREE CHAPTER 3. Regression 4. Convolutional Neural Networks 5. Advanced Convolutional Neural Networks 6. Generative Adversarial Networks 7. Word Embeddings 8. Recurrent Neural Networks 9. Autoencoders 10. Unsupervised Learning 11. Reinforcement Learning 12. TensorFlow and Cloud 13. TensorFlow for Mobile and IoT and TensorFlow.js 14. An introduction to AutoML 15. The Math Behind Deep Learning 16. Tensor Processing Unit 17. Other Books You May Enjoy
18. Index

Virtual machines on cloud

As the name suggests, virtual machines (VMs) are not real systems. Instead, they are a computer file, called an image, which emulates the behavior of an actual computer. Thus, we can create a virtual computer within a computer. It runs on your existing OS, almost like any other program, providing you the same experience as you would have on a physical system with the same configuration (albeit with some latency).

Each virtual machine has its own virtual hardware, including CPUs, GPUs, memory, hard drives, network interfaces, and other devices. The cloud service providers allow you to create a virtual machine on their physical hardware using VM services. This section will cover how to create a virtual machine on the three cloud service providers, and features offered by them.

EC2 on Amazon

To create a virtual machine on Amazon EC2 you will need to launch an Amazon EC2 instance by clicking on the Launch Instance button available in the EC2 dashboard...

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