Hierarchical Deep Learning Architecture For 10K Objects Classification

Abstract

Evolution of visual object recognition architectures based on Convolutional Neural Networks & Convolutional Deep Belief Networks paradigms has revolutionized artificial Vision Science. These architectures extract & learn the real world hierarchical visual features utilizing supervised & unsupervised learning approaches respectively. Both the approaches yet… (More)
DOI: 10.5121/csit.2015.51408

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