Can change the output.

Dear all

I can change the output (D)

clear all, clc 
rng(3);
X = zeros(5, 5, 5);
X(:, :, 1) = [ 0 1 1 0 0;
 0 0 1 0 0;
 0 0 1 0 0;
 0 0 1 0 0;
 0 1 1 1 0
 ];
X(:, :, 2) = [ 1 1 1 1 0;
 0 0 0 0 1;
 0 1 1 1 0;
 1 0 0 0 0;
 1 1 1 1 1
 ];
X(:, :, 3) = [ 1 1 1 1 0;
 0 0 0 0 1;
 0 1 1 1 0;
 0 0 0 0 1;
 1 1 1 1 0
 ];
X(:, :, 4) = [ 0 0 0 1 0;
 0 0 1 1 0;
 0 1 0 1 0;
 1 1 1 1 1;
 0 0 0 1 0
 ];
X(:, :, 5) = [ 1 1 1 1 1;
 1 0 0 0 0;
 1 1 1 1 0;
 0 0 0 0 1;
 1 1 1 1 0
 ];
D = [ 1 0 0 0 0;   % what to write D as [1 2 3 4 5; 0 1 2 3 4; etc]
 0 1 0 0 0;
 0 0 1 0 0;
 0 0 0 1 0;
 0 0 0 0 1
 ];
W1 = 2*rand(50, 25) - 1;
W2 = 2*rand( 5, 50) - 1;
for epoch = 1:10000 % train
 [W1 W2] = MultiClass(W1, W2, X, D);
end
N = 5; % inference
for k = 1:N
 x = reshape(X(:, :, k), 25, 1);
 v1 = W1*x;
 y1 = Sigmoid(v1);
 v = W2*y1;
 y = Softmax(v)
end

When i rewrite the D it show error of NaN....

FUNCTIONS

function [W1, W2] = MultiClass(W1, W2, X, D)
 alpha = 0.9;
 N = 5;
 for k = 1:N
 x = reshape(X(:, :, k), 25, 1);
 d = D(k, :)';
 v1 = W1*x;
 y1 = Sigmoid(v1);
 v = W2*y1;
 y = Softmax(v);
 e = d - y;
 delta = e;
 e1 = W2'*delta;
 delta1 = y1.*(1-y1).*e1;
 dW1 = alpha*delta1*x';
 W1 = W1 + dW1;
 dW2 = alpha*delta*y1';
 W2 = W2 + dW2;
 end
end


function y = Sigmoid(x)
 y = 1 ./ (1 + exp(-x));
end

function y = Softmax(x)
 ex = exp(x);
 y = ex / sum(ex);
end

[Adam Danz]

I edited your question to format the code. In the future, please format your code in all questions, comments, and answers (I see you've got some experience here so that should be clear by now).

"When i rewrite the D it show error of NaN.... "

I run your code without error.