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Demand is mounting in the industry for scalable GPU-based deep learning systems. Unfortunately, existing training applications built atop popular deep learning frameworks, including Caffe, Theano, and Torch, etc, are incapable of conducting distributed GPU training over large-scale clusters.To remedy such a situation, this paper presents Nexus, a platform that allows existing deep learning frameworks...
This paper introduces the use of combined neural network model to guide model selection for detection of weak signal. It has been found that digital filters are not suitable for processing weak signals in noise, while wavelet neural network (WNN) is used to analyze weak digital signal and extract small-features. WNN is a time-frequency analysis adaptive system, which detects the subtle small changes...
In order to experiment the performance of some popular ANN algorithms to OMIS (Operational Modular Imaging Spectrometer) hyperspectral image, three widely used ANNs, including Back Propagation Neural Network (BPNN), Radial Basis Function Neural Network (RBFNN), Fuzzy ARTMAP network and their improvements, are employed and compared. It is concluded that ANN classifiers perform much better than traditional...
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