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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

Preface

The aim of this book is to walk you through the process of efficiently training deep neural networks for computer vision using the most modern techniques. The course is designed to get you familiar with deep neural networks in order to be able to train them efficiently, customize existing state-of-the-art architectures, build real-world Java applications, and achieve great results in a short space of time. You will build real-world computer vision applications, ranging from simple Java handwritten digit recognition to real-time Java autonomous car driving systems and face recognition.

By the end of the book, you will have mastered the best practices and most modern techniques to facilitate the building of advanced computer vision Java applications and achieve production-grade accuracy.

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