- Define the custom loss function that uses the previous time step output as truth
- Shift the true output by one time step
- Define the loss as the mean squared error between the predicted outputs and the shifted true outputs
- Combine the losses
Can I define a loss function where the truth is network's previous time step?
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I wonder, is it possible to define a loss function in matlab such that the truth of the loss function is the previous time step output of the LSTM. The aim is to backpropagate through both y_1 and y_2. The figure below may help.
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Rijuta
am 22 Feb. 2023
Hi Emirhan,
I understand that you are trying to define a loss function in MATLAB such that the truth of the loss function is the previous time step output of an LSTM.
This can be achieved by defining a custom loss function that takes as inputs both the predicted output at time step ‘t’ and the true output at time step ‘t-1’. Make sure that this loss function considers two predicted outputs and two true outputs as inputs to backpropagate through both ‘y_1’ and ‘y_2’.
Please follow the below mentioned steps for the same:
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