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You're reading from  Deep Learning Quick Reference

Product typeBook
Published inMar 2018
Reading LevelExpert
PublisherPackt
ISBN-139781788837996
Edition1st Edition
Languages
Python
Tools
KerasTensorFlow
Concepts
Deep Learning
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Author (1)
Mike Bernico
Mike Bernico
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Mike Bernico

Mike Bernico is a Lead Data Scientist at State Farm Mutual Insurance Companies. He also works as an adjunct for the University of Illinois at Springfield, where he teaches Essentials of Data Science, and Advanced Neural Networks and Deep Learning. Mike earned his MSCS from the University of Illinois at Springfield. He's an advocate for open source software and the good it can bring to the world. As a lifelong learner with umpteen hobbies, Mike also enjoys cycling, travel photography, and wine making.
Read more about Mike Bernico

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Case study - handwritten digit classification

We will be using a multiclass classification network to recognize the corresponding class of a handwritten digit. As before, you can find the complete code for this chapter in the book's Git repository, under Chapter05, if you'd like to follow along.

Problem definition

The MNIST dataset has become an almost canonical neural network dataset. This dataset consists of images of 60,000 handwritten digits, belonging to 10 classes representing their respective digit (0,1,2...9). Because this dataset has become so common, many deep learning frameworks come with an MNIST loading method built into the API. Both TensorFlow and Keras have one, and we will be using the Keras MNIST...

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Deep Learning Quick Reference
Published in: Mar 2018Publisher: PacktISBN-13: 9781788837996
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Mike Bernico

Mike Bernico is a Lead Data Scientist at State Farm Mutual Insurance Companies. He also works as an adjunct for the University of Illinois at Springfield, where he teaches Essentials of Data Science, and Advanced Neural Networks and Deep Learning. Mike earned his MSCS from the University of Illinois at Springfield. He's an advocate for open source software and the good it can bring to the world. As a lifelong learner with umpteen hobbies, Mike also enjoys cycling, travel photography, and wine making.
Read more about Mike Bernico

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