Dropout Technique Image Classification by Siva Kumar (5 results)

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Taschenbuch. Condition: Neu. Dropout Technique for Image Classification | Extreme Learning Machine | A. P. Siva Kumar (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203931198 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An extreme learning machine (ELM) is a feed-forward neural network (FFN). It is playing a crucial role in image classification and it is a simple method for features learning and ELM is frequently used in sequential learning, batch learning, and incremental learning because of these leanings ELM is learning faster, speed, good generalization ability, ease of implementation and efficiency in classifications. In this work, we propose two stages: the feature mapping stage, feature learning stage in an extreme learning machine. 104 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An extreme learning machine (ELM) is a feed-forward neural network (FFN). It is playing a crucial role in image classification and it is a simple method for features learning and ELM is frequently used in sequential learning, batch learning, and incremental learning because of these leanings ELM is learning faster, speed, good generalization ability, ease of implementation and efficiency in classifications. In this work, we propose two stages: the feature mapping stage, feature learning stage in an extreme learning machine.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An extreme learning machine (ELM) is a feed-forward neural network (FFN). It is playing a crucial role in image classification and it is a simple method for features learning and ELM is frequently used in sequential learning, batch learning, and incremental learning because of these leanings ELM is learning faster, speed, good generalization ability, ease of implementation and efficiency in classifications. In this work, we propose two stages: the feature mapping stage, feature learning stage in an extreme learning machine.