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

Anonymous (Autor)

Buch | Softcover

32 Seiten

2020 | 20001 A. 1. Auflage
GRIN Verlag
978-3-346-21308-2 (ISBN)

Titel nicht im Sortiment

Artikel merken

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.

Erscheinungsdatum	08.12.2020
Sprache	englisch
Maße	148 x 210 mm
Gewicht	62 g
Themenwelt	Mathematik / Informatik ► Mathematik
Schlagworte	advantages • Architecture • convnets • convolutional • Data • Networks • Neural • Processing
ISBN-10	3-346-21308-0 / 3346213080
ISBN-13	978-3-346-21308-2 / 9783346213082
Zustand	Neuware