Fast Sparse Deep Neural Networks: Theory and Performance Analysis
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DOI: 10.1109/access.2019.2920688
Abstract: In this paper, fast sparse deep neural networks that aim to offer an alternative way of learning in a deep structure are proposed. We examine some optimization algorithms for traditional deep neural networks and find… read more here.
Keywords: sparse deep; performance; deep neural; neural networks ... See more keywords
Sparse Deep Tensor Extreme Learning Machine for Pattern Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2924647
Abstract: A novel deep architecture, the sparse deep tensor extreme learning machine (SDT-ELM), is presented as a tool for pattern classification. In extending the original ELM, the proposed SDT-ELM gains the theoretical advantage of effectively reducing… read more here.
Keywords: tensor; sparse deep; tensor extreme; classification ... See more keywords