using same for loop but with different input

hello,

I am working on a basic machine learning algorithm.

here are some of my code

this code works, but i want to run this code with different alpha value (learning rate)

for example, i want to know the different result according to the different alpha values (alpha = [0.1:0.1:1])

i know that i can manually change the alpha value each time to get the each results

but i want to know if there is any other method so that i dont have to change alpha value each time.

trn = 10000; % training pattern 갯수

ten = 10000; % testing pattern 갯수

echo = 10; % 학습반복 횟수

rate = 1;

w = (rand(784,10)-0.5)*2; % -1 ~ 1 사이의 weight값 random하게 생성

s = zeros(1,10); % Integration 부분

o = zeros(1,10); % Activation 부분

alpha = 0.1; % learning rate

count = 0;

%-------------------------------------------------------Learing--------------------------------------------------

for z=1:echo

for j=1:trn

i=image(j,:); % j-th pattern

l=label(j,:); % j-th label

s=i*w; % input*weight 의 합

i_t = i.'; % transposd of i

o=s;

y = 1./(1+exp(-1.*o)); % Sigmoid Activation function 적용

mean_square = (y - l).^2; % mean_square 적용

del_y = y.*(1-y);

del_mean = 2.*(y-l);

del_w = i_t.* del_y .* del_mean;

w=w-(alpha.*del_w);

end

end

%---------------------------------------------------Testing-----------------------------------------------

for k=1:ten

i=image1(k,:);

l=label1(k,:);

s=i*w; % input*weight 의 합

o=s;

y = 1./(1+exp(-1.*o)); % Sigmoid Activation function 적용

h=max(y);

y(y < h) = 0;

y(y == h) = 1;

if y == l

count=count+1;

end

end

Answer 1

[Anmol Dhiman]

According to my understanding you can save you code in one function, for eg myfunction. You can create two arrays, one for alpha and one for variable w (which is determined using alpha). You can call the myfunction in a for loop.

alpha = [0:0.1:1]
w= []
for i=1:length(alpha)
     w_temp = myfunction(a);
w(i) = w_temp;
end
--
w = myFunction(a)
%your code with alpha =a;
end

Please share some data in case the above approach did not work.