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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

Applying content cost function

In this section, we are going to define the content cost function and then formalize the function a bit more by calculating the derivative, which we will use for further applications as well. We will use transfer learning or a pre-trained convolution architecture, such as VGG-16, but this time in a different way. Instead of using the model for this prediction for the softmax layer, we will use the layer's knowledge or their ability to capture the features of the images as depicted in the following diagram:

As we saw in the first section, What are convolution network layers learning, the first layers of the neural ...

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Publisher Resources

ISBN: 9781789613964Supplemental Content