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