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Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks
book

Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks

by Liangqu Long, Xiangming Zeng
January 2022
Intermediate to advanced
727 pages
14h 39m
English
Apress
Content preview from Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
L. Long, X. ZengBeginning Deep Learning with TensorFlowhttps://doi.org/10.1007/978-1-4842-7915-1_3

3. Classification

Xiangming Zeng1   and Liangqu Long2
(1)
State College, PA, USA
(2)
Shenzhen, Guangdong, China
 

A year spent in artificial intelligence is enough to make one believe in God.

—Alan Perlis

The linear regression model for continuous variable prediction has been introduced previously. Now let’s dive into the classification problem. A typical application of the classification problem is to teach computers how to automatically recognize objects in images. Let’s consider one of the simplest tasks in image classification: 0–9 digital picture recognition, ...

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Publisher Resources

ISBN: 9781484279151Purchase LinkPublisher Website