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getting the same results for consecutive training
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hello
I am going to get exactly the same result for consecutive training of my NN. Every time I train my net the result is different. could you please help me?
[x,t]=bodyfat_dataset;
>> Inputs=cell(1,3);
Targets=cell(1,3);
for i=1:3
Ind=randi(size(x,2),size(x,2),1);
Inputs{i} = x(:, Ind);
Targets{i}=t(Ind);
end
>> ytotal=0;
>> y=zeros(3,252);
>> net=feedforwardnet;
>> net.divideFcn='';
>> for i=1:3
rng(0);
[net tr y(i,:)]=train(net,Inputs{i},Targets{i});
ytotal=ytotal+y(i,:);
end
..............................
%for the second round of training
ytotal=0;
y=zeros(3,252);
for i=1:3
rng(0);
[net tr y(i,:)]=train(net,Inputs{i},Targets{i});
ytotal=ytotal+y(i,:);
end
% the result is different!!!
I have used divideind with early stopping but it did not solve my problem.
best
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