Skip to Main Content
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
book

Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R

by V Kishore Ayyadevara
June 2018
Intermediate to advanced content levelIntermediate to advanced
379 pages
7h 33m
English
Apress
Content preview from Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
© V Kishore Ayyadevara 2018
V Kishore AyyadevaraPro Machine Learning Algorithms https://doi.org/10.1007/978-1-4842-3564-5_9

9. Convolutional Neural Network

V Kishore Ayyadevara1 
(1)
Hyderabad, Andhra Pradesh, India
 

In Chapter 7, we looked at a traditional neural network (NN). One of the limitations of a traditional NN is that it is not translation invariant—that is, a cat image on the upper right-hand corner of an image would be treated differently from an image that has a cat in the center of the image. Convolutional neural networks (CNNs) are used to deal with such issues.

Given that a CNN can deal with translation in images, it is considered a lot more useful and CNN architectures are in fact among the current state-of-the-art techniques in object ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning Algorithms

Machine Learning Algorithms

Giuseppe Bonaccorso

Publisher Resources

ISBN: 9781484235645Purchase LinkPublisher Website