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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

Real-Time Object Detection

In this chapter, we're going to solve one of the most challenging problems that arises from computer vision—real-time object detection.

We'll begin by getting familiar with the object localization problem, and learn how to label data and modify the network layer of the neural network to fit this problem. Throughout this chapter, we'll learn how to detect an object with using the sliding window technique and the convolutional window technique. We'll conclude each section by exploring the downsides of the method and how to overcome them. We'll take a closer look at the state-of-the-art algorithm, You Only Look Once (YOLO), that does a great job of detecting objects. We'll conclude this chapter by building a real-time application for object detection.

In this chapter, we'll cover the following topics:

  • Resolving...
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