parfor for multi layer perceptron

Hi everyone

I have a problem, can you help me?

I want to use parfor to optimize my multilayer perceptron.

for examples, I run 60000 samples of MNIST. each sample I have feedforward pass, backforward pass.

so, if i write parfor like this, is this ok?

parfor i = 1:1:600000

feedforward(samples(i));

backforward(samples(i));

end

please, help me how to use parfor in MLP

Thank, have a good day

[Tiki Tiki]

because i want to accelerate my code by using all cores in my computer. so I prefer using parfor to do this.