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In recent year, with the speedy development in the digital contents identification, automatic classification of the images became most challenging task in the fields of computer vision. Automatic understanding and analysing of images by system is difficult as compared to human visions. Several research have been done to overcome problem in existing classification system, but the output was narrowed only to low level image primitives. However, those approach lack with accurate classification of images. In this paper, our system uses deep learning algorithm to achieve the expected results in the area like computer visions. Our system present Convolutional Neural Network (CNN), a machine learning algorithm being used for automatic classification the images.
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Classifying multi-category images using Convolution neural network
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LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202787880
ISBN 13: 9786202787888
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent year, with the speedy development in the digital contents identification, automatic classification of the images became most challenging task in the fields of computer vision. Automatic understanding and analysing of images by system is difficult as compared to human visions. Several research have been done to overcome problem in existing classification system, but the output was narrowed only to low level image primitives. However, those approach lack with accurate classification of images. In this paper, our system uses deep learning algorithm to achieve the expected results in the area like computer visions. Our system present Convolutional Neural Network (CNN), a machine learning algorithm being used for automatic classification the images. 52 pp. Englisch. Codice articolo 9786202787888
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Classifying multi-category images using Convolution neural network
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202787880
ISBN 13: 9786202787888
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Kartoniert / Broschiert. Condizione: New. Codice articolo 494132949
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Classifying multi-category images using Convolution neural network
Editore:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202787880
ISBN 13: 9786202787888
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Paperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Codice articolo zk6202787880
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Classifying multi-category images using Convolution neural network
Editore:
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202787880
ISBN 13: 9786202787888
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent year, with the speedy development in the digital contents identification, automatic classification of the images became most challenging task in the fields of computer vision. Automatic understanding and analysing of images by system is difficult as compared to human visions. Several research have been done to overcome problem in existing classification system, but the output was narrowed only to low level image primitives. However, those approach lack with accurate classification of images. In this paper, our system uses deep learning algorithm to achieve the expected results in the area like computer visions. Our system present Convolutional Neural Network (CNN), a machine learning algorithm being used for automatic classification the images.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Codice articolo 9786202787888
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Classifying multi-category images using Convolution neural network
Editore:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202787880
ISBN 13: 9786202787888
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent year, with the speedy development in the digital contents identification, automatic classification of the images became most challenging task in the fields of computer vision. Automatic understanding and analysing of images by system is difficult as compared to human visions. Several research have been done to overcome problem in existing classification system, but the output was narrowed only to low level image primitives. However, those approach lack with accurate classification of images. In this paper, our system uses deep learning algorithm to achieve the expected results in the area like computer visions. Our system present Convolutional Neural Network (CNN), a machine learning algorithm being used for automatic classification the images. Codice articolo 9786202787888
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Classifying multi-category images using Convolution neural network
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202787880
ISBN 13: 9786202787888
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Taschenbuch. Condizione: Neu. Classifying multi-category images using Convolution neural network | Gopi Bondhu Ganguly (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202787888 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. Codice articolo 119219758
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