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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

Building a neural network that produces art

In this section, we are going to build a Java application for creating art. Before jumping into the code and application, let's look at the high-level description on how is it implemented. We will use transfer learning with the pre-trained VGG-16 architecture, trained on ImageNet dataset, which is a bunch of convolution layers in the following diagram:

Basically, as we go deeper, the depth of the third dimension increases, while the first two dimensions shrink in time.

At first, we are going to fit a content image as an input through a forward pass as shown in the following diagram. Then, we will ...

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Publisher Resources

ISBN: 9781789613964Supplemental Content