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cs.LG2021
Regularization for convolutional kernel tensors to avoid unstable gradient problem in convolutional neural networks
Pei-Chang Guo
Convolutional neural networks are very popular nowadays. Training neural networks is not an easy task. Each convolution corresponds to a structured transformation matrix. In order…
cs.LG2019★ 3 cited
A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem
Pei-Chang Guo
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 net…
cs.LG2019★ 1 cited
On regularization for a convolutional kernel in neural networks
Peichang Guo, Qiang Ye
Convolutional neural network is an important model in deep learning. To avoid exploding/vanishing gradient problems and to improve the generalizability of a neural network, it is d…