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A Frobenius Norm Regularization Method for Convolutional Kernel Tensors in Neural Networks
The convolutional neural network is a very important model of deep learning. It can help avoid the exploding/vanishing gradient problem and improve the generalizability of a neural network if the singular values of the Jacobian of a layer are bounded around 1 in the training process. We propose a ne...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792232/ https://www.ncbi.nlm.nih.gov/pubmed/36579174 http://dx.doi.org/10.1155/2022/3277730 |