Items related to Building Computer Vision Applications Using Artificial...
Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python - Softcover
- PublisherApress
- Publication date2020
- ISBN 10 148425886X
- ISBN 13 9781484258866
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages473
Buy New
View this item
US$ 66.59
Shipping:
US$ 25.27
From Germany to U.S.A.
Search results for Building Computer Vision Applications Using Artificial...
Seller Image
Building Computer Vision Applications Using Artificial Neural Networks
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9781484258866
Quantity: 2 available
Stock Image
Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-step Examples in Opencv and Tensorflow With Python
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 451 pages. 9.50x6.75x1.00 inches. In Stock. Seller Inventory # __148425886X
Quantity: 1 available
Seller Image
Building Computer Vision Applications Using Artificial Neural Networks : With Step-by-Step Examples in OpenCV and TensorFlow with Python
Published by
Springer, Berlin, Apress, 2020
ISBN 10: 148425886X
ISBN 13: 9781484258866
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9781484258866
Quantity: 2 available
Seller Image
Building Computer Vision Applications Using Artificial Neural Networks
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 356012271
Quantity: Over 20 available
Stock Image
Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-step Examples in Opencv and Tensorflow With Python
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 451 pages. 9.50x6.75x1.00 inches. In Stock. Seller Inventory # zk148425886X
Quantity: 1 available