could anyone help me how to solve the issue in the following code

2 Ansichten (letzte 30 Tage)
jaah navi
jaah navi am 21 Feb. 2020
code:
input = [0 0 1;
0 1 1;
1 0 1;
1 1 1;
];
correct_Output = [0 0.5;
0 0.9;
1 1.2;
1 1.3;
];
Weight = 2*rand(1,3) - 1;
for epoch = 1:10000
Weight = SGD_method(Weight,input,correct_Output);
end
save('Trained_Network.mat')
%function
function Weight = SGD_method(Weight,input, correct_Output)
alpha = 0.9;
N = 4;
for k = 1:N
transposed_Input = input(k,:)';
d = correct_Output(k);
weighted_Sum = Weight*transposed_Input;
output = Sigmoid(weighted_Sum);
error = d-output;
delta = output*(1-output)*error;
dWeight = alpha*delta*transposed_Input;
Weight(1) = Weight(1) + dWeight(1);
Weight(2) = Weight(2) + dWeight(2);
Weight(3) = Weight(3) + dWeight(3);
end
end
%function
function y = Sigmoid(x)
y = 1/(1+exp(-x));
end
the above code excutes if
correct_Output = [0
0
1
1
]
but i want to execute the above code such that the
correct_Output = [0 0.5;
0 0.9;
1 1.2;
1 1.3;
];
Could anyone please help me on this.

Antworten (0)

Kategorien

Mehr zu Deep Learning Toolbox finden Sie in Help Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by