Modifying loss function in neural network to be dependent on previous losses

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Gad Licht 2025-4-15

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https://ww2.mathworks.cn/matlabcentral/answers/2176328-modifying-loss-function-in-neural-network-to-be-dependent-on-previous-losses

评论： Gad Licht 2025-4-20

Hi. I am training a special neural network and after each iteration I want to modify loss function so that it changes based on loss and fit from iteration right before. How could I do this? I do not need example of code that produces good results, just code thatd does that. A second question, is how do I close automautically graphs that open up while training in matlab, I have tried many solutions I believe would work so pleas eonly answer if you have succedded in this special case yourself.

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Torsten 2025-4-15

编辑：Torsten 2025-4-15

For your first question maybe "Dynamic Neural Networks" is the key term if "iteration" stands for "time":

https://uk.mathworks.com/help/deeplearning/ug/introduction-to-dynamic-neural-networks.html

If not, you should explain the reason behind the need to modify the loss function besed on iteration.

Gad Licht 2025-4-16

Hi, I do nto think that works because its not an RNN, LSTM, or similar. More of a modified CNN. Time changes in loss function are also not dependent on data, but previous losses and fit.

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