Custom cost function in deep learning toolbox
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I want to use a custom cost function in neural network that minimizes the mean square error between 
. I followed the steps mentioned here:
. I followed the steps mentioned here:I created a file myfcn.m and +myfcn package.
But when I run thte code with custom cost function
net.performFcn = 'myfcn'
I get the following error:
Error using network/subsasgn>network_subsasgn (line 555)
"performFcn" cannot be set to non-existing function "myfcn".
Error in network/subsasgn (line 14)
net = network_subsasgn(net,subscripts,v,netname);
Error in SDR_exp_customfcn (line 79)
net.performFcn = 'myfcn';
I couldn't figure out what the issue is.
回答（2 个）
Abbott Von
2020-8-12
0 个投票
Well， maybe this tutorial can help you. The key is that line "Defining custom functions with this approach works only with the non-MEX version of the Neural Network code, so it is necessary to call 'train' using the 'nn7' option."
net = train(net,x,t,nn7);
y = net(x,nn7);
Abbott Von
2020-8-12
0 个投票
copyfile([matlabroot '\toolbox\nnet\nnet\nnperformance\mse.m'], 'myfcn.m');
copyfile([matlabroot '\toolbox\nnet\nnet\nnperformance\+mse'], '+myfcn');
And pull the necessary functions into your current working directories.
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2020-8-6
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