To customize your training process by defining a custom loss function and updating the learnable parameters, you can use the "dlupdate" function.
For a clearer understanding on usage of dlupdate in training loop, you can refer to the example provided in the documentation:
For more detailed information on modelling loss function for custom training loop, please refer to the following documentation:
