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Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python - Couverture souple
- ÉditeurApress
- Date d'édition2020
- ISBN 10 148425886X
- ISBN 13 9781484258866
- ReliureBroché
- Langueanglais
- Numéro d'édition1
- Nombre de pages476
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Building Computer Vision Applications Using Artificial Neural Networks
impression à la demandeVendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 infrastructureWho This Book Is ForData scientists, analysts, and machine learning and software engineering professionals with Python programming knowledge. 451 pp. Englisch. N° de réf. du vendeur 9781484258866
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Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-step Examples in Opencv and Tensorflow With Python
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 451 pages. 9.50x6.75x1.00 inches. In Stock. N° de réf. du vendeur __148425886X
Quantité disponible : 1 disponible(s)
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Building Computer Vision Applications Using Artificial Neural Networks : With Step-by-Step Examples in OpenCV and TensorFlow with Python
Edité par
Springer, Berlin, Apress, 2020
ISBN 10 : 148425886X
ISBN 13 : 9781484258866
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 infrastructureWho This Book Is ForData scientists, analysts, and machine learning and software engineering professionals with Python programming knowledge. N° de réf. du vendeur 9781484258866
Quantité disponible : 2 disponible(s)
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Building Computer Vision Applications Using Artificial Neural Networks
impression à la demandeVendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains real examples that you can implement and modify to build useful computer vision systemsGives line-by-line explanations of computer vision working code examples  Explains training neural n. N° de réf. du vendeur 356012271
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Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-step Examples in Opencv and Tensorflow With Python
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 451 pages. 9.50x6.75x1.00 inches. In Stock. N° de réf. du vendeur zk148425886X
Quantité disponible : 1 disponible(s)