Nov 16, 2018 · In this paper, we proposed two novel regularization methods, namely DropFilter and DropFilter-PLUS, for the learning of CNNs.
Missing: DropFilterR: | Show results with:DropFilterR:
DropFilterR: A Novel Regularization Method for Learning Convolutional ...
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Nov 5, 2019 · The basic idea of DropFilterR is to relax the rule of weight-sharing in CNNs by randomly drop elements in convolution filters.
By randomly discard some features or connections, the above mentioned methods relieve the overfitting problem and improve the performance of neural networks. In ...
The basic idea of DropFilterR is to relax the rule of weight-sharing in CNNs by randomly drop elements in convolution filters by applying random drop rate ...
Nov 19, 2018 · By randomly discard some features or connections, the above mentioned methods control the overfitting problem and improve the performance of ...
In this paper, we proposed a novel regularization methods, namely DropFilterR, for the learning of CNNs. The basic idea of DropFilterR is to relax the rule of ...
Nov 5, 2019 · By randomly discard some features or connections, the above mentioned methods relieve the overfitting problem and improve the performance of ...
This paper proposed two novel regularization methods, namely DropFilter and DropFilter-PLUS, for the learning of CNNs, which selects to modify the ...
Missing: DropFilterR: | Show results with:DropFilterR:
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DropFilterR: a novel regularization method for learning convolutional neural networks. H Pan, X Niu, R Li, S Shen, Y Dou. Neural Processing Letters 51, 1285 ...
DropFilterR: A Novel Regularization Method for Learning Convolutional Neural Networks. Hengyue Pan; Xin Niu; Yong Dou. OriginalPaper 05 November 2019 Pages ...