Deep neural networks with local connectivity and its application to astronomical spectral data

Abstract

The success of deep learning proves that deep models are able to achieve much better performance than shallow models in representation learning. However, deep neural networks with auto-encoder stacked structure suffer from low learning efficiency since common used training algorithms are variations of iterative algorithms based on the time-consuming… (More)
DOI: 10.1109/SMC.2016.7844646

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