How to use a self-made loss function for a simple Neural Network in Matlab?
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I have been using
net = feedforwardnet(10) %or
net = fitnet(10)
for my regression problem in Matlab. I am using simple networks with 1 or 2 layers and ReLU activation function (net.transferFcn = 'poslin').
But now, I have to use a self-made custom loss functions instead of 'mse' (mean squared error). Could you please let me know how can I do this.
I have found the following document regarding using custom layers and loss functions:https://www.mathworks.com/help/deeplearning/ug/define-custom-regression-output-layer.html
But this is regarding to complex Neural Networks like CNN. I could not understand how to simplify this for a normal deep neural network.
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yanqi liu
2021 年 12 月 30 日
yes,sir,may be it same on:https://ww2.mathworks.cn/matlabcentral/answers/1618945-how-to-use-a-self-made-loss-function-for-a-simple-neural-net
net=newff([0,1],[5,1],{'tansig','logsig'},'traingd')
net.performFcn
we can find the default is mse
so,make the self definition function,https://www.mathworks.com/matlabcentral/answers/64319-neural-network-how-to-use-a-custom-performance-function
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pathakunta
2024 年 1 月 26 日
I have been using net = feedforwardnet(10) %or net = fitnet(10) for my regression problem in Matlab. I am using simple networks with 1 or 2 layers and ReLU activation function (net.transferFcn = 'poslin'). But now, I have to use a self-made custom loss functions instead of 'mse' (mean squared error). Could you please let me know how can I do this. I have found the following document regarding using custom layers and loss functions:https://www.mathworks.com/help/deeplearning/ug/define-custom-regression-output-layer.html But this is regarding to complex Neural Networks like CNN. I could not understand how to simplify this for a normal deep neural network.
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