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Venditore AbeBooks dal 25 marzo 2015
In. Codice articolo ria9781796607260_new
This book implemented six different algorithms to classify images with prediction accuracy as the primary criterion and time consumption as the secondary one. The accuracies varied between about 30% and 90%, while the time consumptions varied from several seconds to more than one hour. Considering both criteria, the Pre-Trained AlexNet Features Representation plus a Classifier, such as the k-Nearest Neighbors (KNN) and the Support Vector Machines (SVM), was concluded as the best algorithm.
Titolo: Image Classification Using Python and ...
Casa editrice: Independently published
Data di pubblicazione: 2019
Legatura: Brossura
Condizione: New