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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/07/31 07:10:16 UTC
[GitHub] wang-qun-sen opened a new issue #11941: how to get the gradient
which loss function with respect to ReLU layer output feature?
wang-qun-sen opened a new issue #11941: how to get the gradient which loss function with respect to ReLU layer output feature?
URL: https://github.com/apache/incubator-mxnet/issues/11941
when i read the paper <<LDMNet: Low Dimensional Manifold Regularized Neural Networks>>,
https://arxiv.org/abs/1711.06246?context=cs
i got a different regularization iterm which come from the output feature of middle layer Relu. i know it is not like the weight decay , and i have to modify the backward of the gradient, but how to do this ?
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