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Hands-On Java Deep Learning for Computer Vision

You're reading from   Hands-On Java Deep Learning for Computer Vision Implement machine learning and neural network methodologies to perform computer vision-related tasks

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789613964
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Klevis Ramo Klevis Ramo
Author Profile Icon Klevis Ramo
Klevis Ramo
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Table of Contents (8) Chapters Close

Preface 1. Introduction to Computer Vision and Training Neural Networks 2. Convolutional Neural Network Architectures FREE CHAPTER 3. Transfer Learning and Deep CNN Architectures 4. Real-Time Object Detection 5. Creating Art with Neural Style Transfer 6. Face Recognition 7. Other Books You May Enjoy

Neural style transfer

In this section, we are going to learn what neural style transfer is, the cost function, and what we are trying to minimize in the case of neural style transfer. When we are referring to style transfer, we will always have a content image followed by a style image, or the artwork, and what we want to do is to have a final image that looks such as the content image, but painted with a style from the styled image. Basically it's like the style is being transferred from the Van Gogh picture (as shown in the following diagram) to the content image:

Let's consider another example which is shown as follows. We have the content image once again, then we have the style image or the artwork, and we have a final, or the third image that looks like similar to both of those previous images, but in the same way they also look somewhat different:

In a few words...

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