Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python

Ansari

ISBN 10: 1484276671 ISBN 13: 9781484276679

Editorial: Springer India, 2022

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Librer�a: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America Calificaci�n del vendedor: 5 de 5 estrellas

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Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. N� de ref. del art�culo ABNR-208159

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T�tulo: Building Computer Vision Applications Using ...
Editorial: Springer India
A�o de publicaci�n: 2022
Encuadernaci�n: Encuadernaci�n de tapa blanda
Condici�n: New
Edici�n: Edici�n Internacional

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Building Computer Vision Applications Using Artificial Neural Networks: With Step-By-Step Examples in Opencv and Tensorflow with Python

Ansari, Shamshad

Publicado por Apress, 2020

ISBN 10: 148425886X ISBN 13: 9781484258866

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Paperback. Condici�n: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. N� de ref. del art�culo: G148425886XI3N00

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Building Computer Vision Applications Using Artificial Neural Networks | With Step-by-Step Examples in OpenCV and TensorFlow with Python

Shamshad Ansari

Publicado por Apress, 2020

ISBN 10: 148425886X ISBN 13: 9781484258866

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Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Building Computer Vision Applications Using Artificial Neural Networks | With Step-by-Step Examples in OpenCV and TensorFlow with Python | Shamshad Ansari | Taschenbuch | Englisch | Apress | EAN 9781484258866 | Verantwortliche Person f�r die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabr�ck, mail[at]preigu[dot]de | Anbieter: preigu. N� de ref. del art�culo: 118070893

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Building Computer Vision Applications Using Artificial Neural Networks : With Step-by-Step Examples in OpenCV and TensorFlow with Python

Shamshad Ansari

Publicado por Springer, Berlin, Apress, 2020

ISBN 10: 148425886X ISBN 13: 9781484258866

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: 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 ref. del art�culo: 9781484258866

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