DEEP BELIEF NETWORK AND AUTO-ENCODER FOR FACE CLASSIFICATION

Deep Belief Network and Auto-Encoder for Face Classification

The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm.Hence, we have adopted the representative Deep Learning methods which are Deep Belief Network (DBN) and Stacked Auto-Encoder (SAE), to initialize deep supervised Neural Networks (NN), besides

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Knowledge and teaching work

This article for reflection wants to highlight the importance of knowledge, knowledge, the conceptual, when we deal with educational realities, when we face the teaching work.Contemporary reflections and the emergence of new information technologies cannot displace the purpose of training for the growth of the human, and this Lounge Cushion means a

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Experimental and numerical investigation of biosensors plasmonic substrates induced differences by e-beam, soft and hard UV-NIL fabrication techniques

This paper compares plasmonic substrates manufactured by three lithography methods: E-beam, soft and hard UV NanoImprint hookah acc Lithography.The different plasmonic modes existing in samples made of an array of gold nanostructures on gold film are investigated for biochemical detections taking advantage of Surface Plasmon Resonance Imaging (SPRI

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