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Building Computer Vision Applications Using Artificial Neural Networks

Name: Building Computer Vision Applications Using Artificial Neural Networks
Brand: APress
SKU: 9781484258866
Price: 1491 CZK
Availability: InStock

With Step-by-Step Examples in OpenCV and TensorFlow with Python

Autor: Shamshad Ansari

Jazyk:

Vazba: Brožovaná

Vydavatel: APress

Dostupnost: U nakladatele na objednávku

Odesíláme za 17-27 dnů

1 491 Kč

Apply computer vision and machine learning concepts in developing business and industrial applicatio...

Informace o knize

Autor

Shamshad Ansari

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2020

Stránek

451

EAN

9781484258866

Enbook ID

28235788

Vydavatel

APress

Hmotnost

900

Rozměry

253 x 178 x 35

Kompletní popis

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.

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Building Computer Vision Applications Using Artificial Neural Networks

With Step-by-Step Examples in OpenCV and TensorFlow with Python

Informace o knize

Kompletní popis

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