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Deep Learning with TensorFlow

You're reading from   Deep Learning with TensorFlow Explore neural networks with Python

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781786469786
Length 320 pages
Edition 1st Edition
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Authors (4):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
Ahmed Menshawy Ahmed Menshawy
Author Profile Icon Ahmed Menshawy
Ahmed Menshawy
Giancarlo Zaccone Giancarlo Zaccone
Author Profile Icon Giancarlo Zaccone
Giancarlo Zaccone
Fabrizio Milo Fabrizio Milo
Author Profile Icon Fabrizio Milo
Fabrizio Milo
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with Deep Learning FREE CHAPTER 2. First Look at TensorFlow 3. Using TensorFlow on a Feed-Forward Neural Network 4. TensorFlow on a Convolutional Neural Network 5. Optimizing TensorFlow Autoencoders 6. Recurrent Neural Networks 7. GPU Computing 8. Advanced TensorFlow Programming 9. Advanced Multimedia Programming with TensorFlow 10. Reinforcement Learning

Deep learning on Android

One will ask, why do we want to do that? Is not deep learning and TensorFlow something that you do on massive clusters of GPU machines in big data centres? The answer to this question is obviously yes, but it's also an amazing way of offering unique user experiences that you have never been able to offer it to people before and that is by running interactively on mobile devices.

Mobile applications have lots of potential because people use it on daily basis. You can offer dozens of apps the depend on deep learning from real time translation, to predicting next words on keyboards, to help people scan their old photos with photo scan, to all the amazing stuff that you know SnapChat is doing in real time. You can also develop medical mobile applications that can help diagnosing diseases and more.

At the moment not all devices are supported by TensorFlow but we are going to only cover the...

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