# PC freeze at the start of neural network training

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Ameen Bassam on 3 Mar 2022
Answered: Ameen Bassam on 24 Mar 2022
Hello All,
I am training a 2 hidden layers neural network to predict a single output as a function of 8 inputs of 5425 sample each. I have tested different neurons number successfully until I reach 200 neurons in each hidden layer when the MATLAB gives me an "Out of memory" error.
Then, I have increased my DDR3 RAM from 16 GB to 24 GB. I haven't received the out of memory error but the PC freeze at the start of the training with no response for minutes so I have to unplug it !!!!!!!!!!!!
Is it the RAM or a processor or what please ???
MY PC has an intel core i7-3770-3.4 GHz and an intel DQ77MK motherboard and a GTx 650 Ti - 1 GB - GDDR5 and 16 GB DDR3 10600U RAM 1333 MHz (Upgraded to 24 GB as explained earlier).
My code is very simple:
net = feedforwardnet([200,200],'trainlm');
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;
[net,tr] = train(net,st_inputs5,st_output5);
y = net(st_inputs5); %Estimate the targets using the trained network.
perf = perform(net,y,st_output5);
time = mean(tr.time);
mse = mean(((st_output5(:)-y(:)).^2));
rmse=sqrt(mse);
R222 = 1 - sum((st_output5 - y).^2)/sum((st_output5 - mean(st_output5)).^2);
mae = mean(abs(((st_output5(:)-y(:)))));
tr.num_epochs;

Ameen Bassam on 24 Mar 2022
Problem solved. I have upgraded my RAM to 32 GB RAM with a higher transfer rate of 1600 MHz instead of the old 1333 MHz and installed an SSD instead of the HDD. Training takes longtime but it works.

R2019b

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