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

Anonymous

ISBN 10: 3346213080 / ISBN 13: 9783346213082

Published by GRIN Verlag, 2020

About this Item

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.

Seller Inventory # 118948228

Bibliographic Details

• Title: The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks
• Publisher: GRIN Verlag
• Publication Date: 2020
• Language: English
• ISBN 10: 3346213080
• ISBN 13: 9783346213082
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.