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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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Toc

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

Summary

In this chapter, we have covered a vast variety of topics. We began by understanding the computer state vision and the importance of data in deep learning algorithms. We explored neural networks and built a neural network.

We also looked at how a neural network learns. The importance of organizing data and effective training techniques were also looked at. Lastly, we built a handwritten digit recognizer.

In the next chapter, we will look at edge detection and build a model using it.

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