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The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks - Softcover
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Essay from the year 2020 in the subject Mathematics - Miscellaneous, grade: 1,3, University of Ulm, language: English, abstract: In the past two decades in particular, artificial neural networks have led to new approaches and processes in machine learning in many areas. They have replaced many existing processes. In some areas, they even exceed human performance. Impressive progress has been made in the area of image recognition and classification. Above all, this includes the introduction of convolutional neural networks (ConvNets). They belong to the class of neural networks. The first ConvNet was developed by LeCun et al. in 1989. ConvNets were especially developed to enhance image processing. Therefore, they provide a unique architecture. Due to their structure and functionality, ConvNets are particularly well suited within this field of application compared to other methods.
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The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks
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Taschenbuch. Zustand: Neu. The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks | Anonymous | Taschenbuch | Englisch | 2020 | GRIN Verlag | EAN 9783346213082 | Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 118948228
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The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Essay from the year 2020 in the subject Mathematics - Miscellaneous, grade: 1,3, University of Ulm, language: English, abstract: In the past two decades in particular, artificial neural networks have led to new approaches and processes in machine learning in many areas. They have replaced many existing processes. In some areas, they even exceed human performance. Impressive progress has been made in the area of image recognition and classification. Above all, this includes the introduction of convolutional neural networks (ConvNets). They belong to the class of neural networks. The first ConvNet was developed by LeCun et al. in 1989. ConvNets were especially developed to enhance image processing. Therefore, they provide a unique architecture. Due to their structure and functionality, ConvNets are particularly well suited within this field of application compared to other methods. Bestandsnummer des Verkäufers 9783346213082
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The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks
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GRIN Verlag, GRIN Verlag Sep 2020, 2020
ISBN 10: 3346213080
ISBN 13: 9783346213082
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Taschenbuch. Zustand: Neu. Neuware -Essay from the year 2020 in the subject Mathematics - Miscellaneous, grade: 1,3, University of Ulm, language: English, abstract: In the past two decades in particular, artificial neural networks have led to new approaches and processes in machine learning in many areas. They have replaced many existing processes. In some areas, they even exceed human performance. Impressive progress has been made in the area of image recognition and classification. Above all, this includes the introduction of convolutional neural networks (ConvNets). They belong to the class of neural networks. The first ConvNet was developed by LeCun et al. in 1989. ConvNets were especially developed to enhance image processing. Therefore, they provide a unique architecture. Due to their structure and functionality, ConvNets are particularly well suited within this field of application compared to other methods. 32 pp. Englisch. Bestandsnummer des Verkäufers 9783346213082
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The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Essay from the year 2020 in the subject Mathematics - Miscellaneous, grade: 1,3, University of Ulm, language: English, abstract: In the past two decades in particular, artificial neural networks have led to new approaches and processes in machine learning in many areas. They have replaced many existing processes. In some areas, they even exceed human performance. Impressive progress has been made in the area of image recognition and classification. Above all, this includes the introduction of convolutional neural networks (ConvNets). They belong to the class of neural networks. The first ConvNet was developed by LeCun et al. in 1989. ConvNets were especially developed to enhance image processing. Therefore, they provide a unique architecture. Due to their structure and functionality, ConvNets are particularly well suited within this field of application compared to other methods. 32 pp. Englisch. Bestandsnummer des Verkäufers 9783346213082
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The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks
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