Norm-Preservation: Why Residual Networks Can Become Extremely Deep?
نویسندگان
چکیده
منابع مشابه
Stochastic Function Norm Regularization of Deep Networks
Deep neural networks have had an enormous impact on image analysis. State-ofthe-art training methods, based on weight decay and DropOut, result in impressive performance when a very large training set is available. However, they tend to have large problems overfitting to small data sets. Indeed, the available regularization methods deal with the complexity of the network function only indirectl...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2020
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2020.2990339