Hi koen,
You can stop the training of an LSTM neural network in MATLAB by defining a custom stopping criteria.
Please refer to the following steps to implement custom stopping criteria
- Create a function that checks the training loss. If the loss is below a specified threshold, the function returns true, signaling the training process to stop.
- Use the “trainingOptions” function to specify the training parameters, including the custom output function. Just pass this custom function handle to the "OutputFcn" name-value pair argument of “trainingOptions”.
This function will be invoked at the start, during, and at the end of training. Training will stop when the “OutputFcn” returns “true”.
Please refer to the following documentation link for your reference:
Hope this is useful!
