Corpus ID: 7509837

Three Classes of Deep Learning Architectures and Their Applications: A Tutorial Survey

@inproceedings{Deng2012ThreeCO,
  title={Three Classes of Deep Learning Architectures and Their Applications: A Tutorial Survey},
  author={L. Deng},
  year={2012}
}

L. Deng

Published 2012

Computer Science

In this invited paper, my overview material on the same topic as presented in the plenary overview session of APSIPA-2011 and the tutorial material presented in the same conference (Deng, 2011) are expanded and updated to include more recent developments in deep learning. [...] Key Method Three representative deep architectures --deep auto-encoder, deep stacking network, and deep neural network (pre-trained with deep belief network) --one in each of the three classes, are presented in more detail. Next…Expand Abstract

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