Abstract
An enormous variety of algorithms exist for preprocessing images for presentation to a model. This chapter will discuss only one such algorithm, though it is an important one whose computational details are often glossed over in other references. Here we will downplay the deep theory, which is widely available, and focus on the practical implementation details, which are not so widely available.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Timothy Masters
About this chapter
Cite this chapter
Masters, T. (2018). Image Preprocessing. In: Deep Belief Nets in C++ and CUDA C: Volume 2. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3646-8_3
Download citation
DOI: https://doi.org/10.1007/978-1-4842-3646-8_3
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3645-1
Online ISBN: 978-1-4842-3646-8
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)