منابع مشابه
Fraternal Dropout
Recurrent neural networks (RNNs) form an important class of architectures among neural networks useful for language modeling and sequential prediction. However, optimizing RNNs is known to be harder compared to feed-forward neural networks. A number of techniques have been proposed in literature to address this problem. In this paper we propose a simple technique called fraternal dropout that t...
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ژورنال
عنوان ژورنال: Journal of Cosmology and Astroparticle Physics
سال: 2015
ISSN: 1475-7516
DOI: 10.1088/1475-7516/2015/10/054