Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning
We systematically explored a spectrum of normalization algorithms related to Batch Normalization (BN) and propose a generalized formulation that simultaneously solves two major limitations of BN: (1) online learning and (2) recurrent learning. Our proposal is simpler and more biologically-plausible....
Main Authors: | Liao, Qianli, Kawaguchi, Kenji, Poggio, Tomaso |
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Format: | Technical Report |
Language: | en_US |
Published: |
Center for Brains, Minds and Machines (CBMM), arXiv
2016
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Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/104906 |
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