Dropout Technique for Image Classification - Siva Kumar, A.P.;K, Tejaswini;K, Chidananda
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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.

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Produktbeschreibung
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.
Autorenporträt
Dr.A.P.Siva Kumar, Fez seu B.Tech da JNTUH, M.Tech da JNTUA, Ph.D da JNTUA na área de"Information Retrieval and Cross Lingual Intelligent Systems" no Ano de 2011. Recebeuo PrémioCarrerpara Jovens Professores (CAYT) para o Ano Financeiro de 2013-14.