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

Product typeBook
Published inJul 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781787282773
Edition1st Edition
Languages
Python
Tools
TensorFlowScikit-learn
Concepts
Deep Learning
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Author (1)
Dan Van Boxel
Dan Van Boxel
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Dan Van Boxel

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.
Read more about Dan Van Boxel

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Summary

You learned a lot in this chapter, going from simply understanding RNNs to implementing them in a new TensorFlow model. We also looked at a simple interface to TensorFlow called TensorFlow Learn. We also walked through DNNs, and understood CNNs and extracting weights in detail.

In the next chapter, we will wrap up our look at TensorFlow, looking at how far we've come and where you can go from here.

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Hands-On Deep Learning with TensorFlow
Published in: Jul 2017Publisher: PacktISBN-13: 9781787282773
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Dan Van Boxel

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.
Read more about Dan Van Boxel

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