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Hands-On Deep Learning with TensorFlow

You're reading from  Hands-On Deep Learning with TensorFlow

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787282773
Pages 174 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Dan Van Boxel Dan Van Boxel
Profile icon Dan Van Boxel
LinkedIn
Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is most well-known for Dan Does Data, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research articles and presented findings at the Transportation Research Board and other academic journals.
See other products by Dan Van Boxel

Table of Contents (12) Chapters

Hands-On Deep Learning with TensorFlow
Credits
About the Author
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started 2. Deep Neural Networks 3. Convolutional Neural Networks 4. Introducing Recurrent Neural Networks 5. Wrapping Up Index

The future of TensorFlow

In this section, we will observe how TensorFlow is changing, who is starting to use TensorFlow, and how you can make an impact contributing to it.

Since it was released in late 2015, TensorFlow has already seen several more releases:

TensorFlow is constantly being updated. Although it isn't an official Google product, it is also open source and hosted on GitHub. At the time of writing, TensorFlow is at release 1.2. The most recent release added distributed computing capabilities. These are beyond the scope of this book, but generally speaking, they allow computation across multiple GPUs on multiple machines for maximum parallelization. Under heavy development, more features are always just around the corner. TensorFlow is becoming more popular every day.

Several software companies have released machine learning frameworks recently, but TensorFlow stands out in adoption. Internally, Google is practicing what they preach. Their acclaimed DeepMind team has switched to...

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Authors (1)

Profile icon Dan Van Boxel
LinkedIn
Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is most well-known for Dan Does Data, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research articles and presented findings at the Transportation Research Board and other academic journals.
See other products by Dan Van Boxel

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