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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

Updating the neural network weights

The sum of the product of the features and weights is given to the sigmoid or activation function. This is called the hypothesis. We begin with theories on what the output will look like, and then see how wrong we are when the results turn out to be different to what we actually require.

To realize how inaccurate our theories are, we require a loss, or cost, function:

The loss or cost function is the difference between the hypothesis and the real value that we know from the data. We need to add the sum function to make sure that the model accounts for all the examples and not only 1. The reason we square ...

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Publisher Resources

ISBN: 9781789613964Supplemental Content