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Bayesian Weight Decay for Deep Neural Networks

We investigate a method to decide the weight decay parameter values of a deep convolutional neural network that yields a good generalization. To obtain such a CNN in practice, numerical trials with different weight decay Read more…

By , 7 years ago October 23, 2018
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HNS Wearable Device Experiments – Video & Voice Communication

By , 7 years ago April 16, 2018
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Efficient learning method for MLP regression with noisy data

We present a novel regularization method for a multilayer perceptron (MLP) that learns a regression function in the presence of noise regardless of how smooth the function is. Unlike general MLP regularization methods assuming that Read more…

By , 9 years ago November 11, 2016
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