Is there a command to measure the training time of a NARX network?

Is there a command to measure the training time of a NARX network?

I would like to know if there is any command which I could make use of to measure the training time of NARX network. I am working towards stopping the neural network from training if it crosses a certain threshold time.

 

Answer 1

[MathWorks Support Team]

In order to monitor the training time or the epochs in the training of a NARX network, you can use the training record, which is the second argument returned by the train function. For example, if you have a NARX network in a variable "net", and network inputs and targets in variables "X", and "T" respectively, you can get the training record "tr" as follows:

>> [net,tr] = train(net,X,T);

The training record has various information about the training of the network which includes epochs in the training, and the training time. Please refer to the following link for more information on using the training record:

https://www.mathworks.com/help/deeplearning/ref/network.train.html#f8-670981

Also, if you need to specify maximum training time, or the number of epochs required for the training of your NARX network, "net", you can specify using the network training parameters. For example, you can access different training parameters for the network as follows:

>> net.trainParam

Further, to specify the maximum training time, or maximum epochs, you can set the "net.trainParam.time", or "net.trainParam.epochs" respectively.

Alternatively, you can measure the timing required for training by profiling the function using MATLAB Profiler, or by using the "tic" and "toc" stopwatch timer functions. Please refer to the following link for more information on profiling in MATLAB:

https://www.mathworks.com/help/matlab/matlab_prog/profiling-for-improving-performance.html