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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

In this chapter, we embraced deep learning with TensorFlow. Though we started with the simple model of one hidden layer of neurons, it didn't take you long to develop and train a deep neural network for the font classification problem.

You learned about the single and multiple hidden layer model and understood those in detail. You also understand the different types of neural networks and built and trained our first neural network with TensorFlow.

In the next chapter, we'll prove our model with convolutional neural networks, a powerful tool for image classification.

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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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