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The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks

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Essay from the year 2020 in the subject Mathematics - Miscellaneous, grade: 1,3, University of Ulm, language: English, abstract: ...

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Beschreibung

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.

Produktinformationen

Titel:
The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks
Autor:
Anonym
EAN:
9783346213075
Format:
E-Book (pdf)
Hersteller:
GRIN Verlag
Genre:
Sonstiges
Veröffentlichung:
27.07.2020
Digitaler Kopierschutz:
frei
Dateigrösse:
2.23 MB
Anzahl Seiten:
26

Mehr entdecken: Mathematik

Analysis, Arithmetik, Algebra, Geometrie, Sonstiges, Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik