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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

Understanding edge detection

Although neural networks are really powerful models, computer vision is a complex problem to solve, since we need more specialized feature detectors for images. In this section, we'll explore edge detection as one of the fundamental techniques in computer vision for neural network architectures. Then, we'll visit horizontal and vertical edge detection, and finally, we'll understand why edge detection is doing so well.

What is edge detection?

Edges are the pixels where the sight color of the pixels dramatically changes from one side to the other. For example, let's look at the following image:

The edges in the preceding screenshot are where the pixel color changes dramatically...

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Hands-On Java Deep Learning for Computer Vision
Published in: Feb 2019
Publisher: Packt
ISBN-13: 9781789613964
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