Feedforward Nueral Networks Training

I have trained a feedward neural network. I used the tr function to get the netwrok parameters shown below. I would like to know the time elapsed in training the network as this would help me make a better comparison while using other training functions. However, I do not understand what " time: [1×82 double]" means.

Please can someone tell me how i can find out the time taken to train the network in seconds?

>> tr

tr =

struct with fields:

trainFcn: 'trainlm'

trainParam: [1×1 struct]

performFcn: 'mse'

performParam: [1×1 struct]

derivFcn: 'defaultderiv'

divideFcn: 'dividerand'

divideMode: 'sample'

divideParam: [1×1 struct]

trainInd: [1×6132 double]

valInd: [1×1314 double]

testInd: [1×1314 double]

stop: 'Validation stop.'

num_epochs: 81

trainMask: {[1×8760 double]}

valMask: {[1×8760 double]}

testMask: {[1×8760 double]}

best_epoch: 71

goal: 0

states: {'epoch' 'time' 'perf' 'vperf' 'tperf' 'mu' 'gradient' 'val_fail'}

epoch: [1×82 double]

time: [1×82 double]

perf: [1×82 double]

vperf: [1×82 double]

tperf: [1×82 double]

mu: [1×82 double]

gradient: [1×82 double]

val_fail: [1×82 double]

best_perf: 2.0020e+06

best_vperf: 1.8338e+06

best_tperf: 2.1547e+06

Thank you

Answer 1

[Swetha Polemoni]

Hi Felicia Ojinji,

• It is my understanding that you want to calculate how much time has been taken by your network to train. You may find "tic" and "toc" functions useful. Below code

tic 
A = rand(12000,4400);
B = rand(12000,4400);
toc

The above code gives the elapsed time, in seconds ,between tic and toc. In other words time taken to generate matrices A and B. You may place your code between tic and toc to get the time taken by those lines of code to run.

• You can also use "trainingOptions" for plotting training progress, where information about elapsed time is also given. To plot training progress during training, specify 'training-progress' as the 'Plots' value in trainingOptions. Here is an example that shows how to plot training progress.