How to easily customize the performance function in a neural network algorithm?

I want to change my loss function in neural network into a customized one. Different .m files should be modified.

Can any one help me to add my personalized function

Answer 1

[TARUN]

Hi @H S,

I understand that you are interested in implementing a customized loss function within a neural network.

To achieve this, you may define your own function in a separate file called “customLoss.m” as shown below:

function loss = customLoss(yTrue, yPred)
  % define the loss function logic
  loss = mean((yTrue - yPred).^2);
end

You can use your own implementation of loss function inside the above function “customLoss”.

Then, in the file where the neural network is implemented, you can directly use the “customLoss” function as shown below:

loss = customLoss(Y, YPred);  

Make sure the file in which the loss function is defined is in the same folder in which the file with neural network is present.

You can learn more about customised loss functions here:

https://www.mathworks.com/help/deeplearning/ug/define-custom-training-loops-loss-functions-and-networks.html