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Hands-On Java Deep Learning for Computer Vision
book

Hands-On Java Deep Learning for Computer Vision

by Klevis Ramo
February 2019
Intermediate to advanced content levelIntermediate to advanced
260 pages
6h 3m
English
Packt Publishing
Content preview from Hands-On Java Deep Learning for Computer Vision

Configuring the training parameters of the neural network

Through the course of this chapter, we have learned several optimization techniques. These, in combination with several other parameters, can help speed up the learning time of our neural network.

In this section of the chapter, we are going to look at a range of parameters, focus on the parameters that are most likely to produce good results when changed, and learn how to tune these parameters to obtain the the best possible outcome.

Here are the parameters that we have looked at so far:

  • Data input normalizationData input normalization is more of a preprocessing technique than it is a parameter. We mention it on this list because it is, in a manner of speaking, a mandatory step. ...
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Publisher Resources

ISBN: 9781789613964Supplemental Content