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

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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

Antworten (1)

Mandar
Mandar am 23 Jan. 2023
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.
  1 Kommentar
RAJA SEKHAR BATTU
RAJA SEKHAR BATTU am 25 Jan. 2023
@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

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