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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

Neural networks

As we saw in the first section of the chapter, all neural networks are learning the weights in each of the layers. Maybe we have millions of weights, but what a neural network is trying to figure out are good values. For example, first we do the forward pass, during which we generate the hypothesis. Then we compare the hypothesis with the real values of the data we have, and then come back with feedback that will change the weights in a way that the next forward pass will produce a better hypothesis. This feedback pass, or the backpropagation pass, updates all the weights:

We repeat this process of the forward pass and the ...

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Publisher Resources

ISBN: 9781789613964Supplemental Content