custom loss function for DNN training
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how can i write a custom loss fucntion for DNN training. I want to try reconstruction loss
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Shounak Mitra
on 17 May 2019
You can create custom layers and define custom loss functions for output layers.
The output layer uses two functions to compute the loss and the derivatives: forwardLoss and backwardLoss. The forwardLoss function computes the loss L. The backwardLoss function computes the derivatives of the loss with respect to the predictions.
For eg., to write a weighted cross entropy classification loss, try running this in the MATLAB command window
>> edit(fullfile(matlabroot,'examples','deeplearning_shared','main','weightedClassificationLayer.m'))
Hope this helps
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Dinial Utami Nurul Qomariah
on 27 Jan 2020
you can use matlab 2019a version
and acces this site.
and this site.
I hope you it will help. :-)
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