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The Weights Reset Technique for Deep Neural Networks Implicit Regularization

We present a new regularization method called Weights Reset, which includes periodically resetting a random portion of layer weights during the training process using predefined probability distributions. This technique was applied and tested on several popular classification datasets, Caltech-101,...

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Principais autores: Grigoriy Plusch, Sergey Arsenyev-Obraztsov, Olga Kochueva
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-08-01
Serier:Computation
Fag:
machine learning
deep learning
implicit regularization
computer vision
Online adgang:https://www.mdpi.com/2079-3197/11/8/148
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