Building Computer Vision Applications Using Artificial Neural Networks

Building Computer Vision Applications Using Artificial Neural Networks
Author :
Publisher : Apress
Total Pages : 451
Release :
ISBN-10 : 148425886X
ISBN-13 : 9781484258866
Rating : 4/5 (866 Downloads)

Book Synopsis Building Computer Vision Applications Using Artificial Neural Networks by : Shamshad Ansari

Download or read book Building Computer Vision Applications Using Artificial Neural Networks written by Shamshad Ansari and published by Apress. This book was released on 2020-07-17 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply computer vision and machine learning concepts in developing business and industrial applications ​using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code examples. Section 1 covers the basics of image and video processing with code examples of how to manipulate and extract useful information from the images. You will mainly use OpenCV with Python to work with examples in this section. Section 2 describes machine learning and neural network concepts as applied to computer vision. You will learn different algorithms of the neural network, such as convolutional neural network (CNN), region-based convolutional neural network (R-CNN), and YOLO. In this section, you will also learn how to train, tune, and manage neural networks for computer vision. Section 3 provides step-by-step examples of developing business and industrial applications, such as facial recognition in video surveillance and surface defect detection in manufacturing. The final section is about training neural networks involving a large number of images on cloud infrastructure, such as Amazon AWS, Google Cloud Platform, and Microsoft Azure. It walks you through the process of training distributed neural networks for computer vision on GPU-based cloud infrastructure. By the time you finish reading Building Computer Vision Applications Using Artificial Neural Networks and working through the code examples, you will have developed some real-world use cases of computer vision with deep learning. What You Will Learn · Employ image processing, manipulation, and feature extraction techniques · Work with various deep learning algorithms for computer vision · Train, manage, and tune hyperparameters of CNNs and object detection models, such as R-CNN, SSD, and YOLO · Build neural network models using Keras and TensorFlow · Discover best practices when implementing computer vision applications in business and industry · Train distributed models on GPU-based cloud infrastructure Who This Book Is For Data scientists, analysts, and machine learning and software engineering professionals with Python programming knowledge.


Building Computer Vision Applications Using Artificial Neural Networks Related Books

Building Computer Vision Applications Using Artificial Neural Networks
Language: en
Pages: 451
Authors: Shamshad Ansari
Categories: Computers
Type: BOOK - Published: 2020-07-17 - Publisher: Apress

DOWNLOAD EBOOK

Apply computer vision and machine learning concepts in developing business and industrial applications ​using a practical, step-by-step approach. The book com
A Guide to Convolutional Neural Networks for Computer Vision
Language: en
Pages: 284
Authors: Salman Khan
Categories: Computers
Type: BOOK - Published: 2018-02-13 - Publisher: Morgan & Claypool Publishers

DOWNLOAD EBOOK

Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance a
Learning Deep Learning
Language: en
Pages: 1106
Authors: Magnus Ekman
Categories: Computers
Type: BOOK - Published: 2021-07-19 - Publisher: Addison-Wesley Professional

DOWNLOAD EBOOK

NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the
Elements of Deep Learning for Computer Vision
Language: en
Pages: 224
Authors: Bharat Sikka
Categories: Computers
Type: BOOK - Published: 2021-06-24 - Publisher: BPB Publications

DOWNLOAD EBOOK

Conceptualizing deep learning in computer vision applications using PyTorch and Python libraries. KEY FEATURES ● Covers a variety of computer vision projects,
Computer Vision Using Deep Learning
Language: en
Pages: 308
Authors: Vaibhav Verdhan
Categories: Computers
Type: BOOK - Published: 2021-02-15 - Publisher: Apress

DOWNLOAD EBOOK

Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estim