How to implement customised loss function in patternnet (pattern recognition neural network)?

Question

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I am trying to implement my own loss function in the second hidden layer for multiclass classification problem. can anyone tell me how to start with.

I am aware of how to increase the hidden layers but not about implementing lossfunction assisted hidden layer.

Thanks in advance

Raja

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Answer 1

Mandar 2023-1-23

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I understand that you want to define custom loss function.

Refer to the following documentation link to know more about implementation of the custom loss function.

RAJA SEKHAR BATTU 2023-1-25

@Mandar Thank you for the answer

I am aware of this link. I am trying to implement a custom loss function

when I change the loss function from cross entropy to my custom loss function

Net.perFuncn='customloss'

Its not working but giving error not enough input arguements

Can you provide any example of custom loss function for classification using patternnet or feedforwardnet

many thanks

Raja