The Architecture of Convnets and Data Processing. Advantages of Convolutional Neural Networks [PDF ebook] 

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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 (Conv Nets). They belong to the class of neural networks. The first Conv Net was developed by Le Cun et al. in 1989. Conv Nets were especially developed to enhance image processing. Therefore, they provide a unique architecture. Due to their structure and functionality, Conv Nets are particularly well suited within this field of application compared to other methods.

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Langue Anglais ● Format PDF ● Pages 32 ● ISBN 9783346213075 ● Taille du fichier 2.2 MB ● Maison d’édition GRIN Verlag ● Lieu München ● Pays DE ● Publié 2020 ● Édition 1 ● Téléchargeable 24 mois ● Devise EUR ● ID 7541263 ● Protection contre la copie sans

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