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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

Product type Paperback

Published in Feb 2019

Publisher Packt

ISBN-13 9781789613964

Length 260 pages

Edition 1st Edition

Languages

Java

Concepts

Computer Vision

Author (1):

Klevis Ramo

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Table of Contents (8) Chapters

Preface

1. Introduction to Computer Vision and Training Neural Networks FREE CHAPTER

2. Convolutional Neural Network Architectures

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

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Summary

In this chapter, we have explored the challenges faced when building a face recognition application. Post this, the solution to these problems was bought to light, and we worked our way through the multiple possibilities in terms of dealing with the challenges.

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Authors (1)

Ramo

Ramo

Klevis Ramo is a highly motivated software engineer with a solid educational background who loves writing. He aims to create stable and creative solutions with performance in mind. Klevis is passionate about coding and machine learning with several open source contributions and is experienced at developing web services and REST API. He is always eager to learn new technologies and to improve system performance and scalability.

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