Error using +. Matrix dimensions must agree
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Hi, I'm trying to create neural network for train my data. But I get error. I though its right but which one should I fix. Here my code
%clc;
close all;
clearvars;
% Multilayer Perceptron (MLP) neural networks.
N = 220; %sum of data
D = 25 ; %dimension
K = 11; %target
h = 500; %sum of neuron
load datatrain1.mat
Train1= cell2mat(Train);
load classtrain1.mat
CTrain1 = cell2mat(TTrain);
b1 = randn(1,h);%bias from input to hidden
W1 = randn(D,h);%weight from input to hidden
b2 = randn(1,K);%bias from hidden to output
W2 = randn(h,K);%weight from hidden to output
%feedfoward
for efoch = 1 : 1000
H = Train1*W1+b1;
Y = H*W2+b2;
end
I get error in variable H, like this Error using +. Matrix dimensions must agree.
Any help for fix my code will must appreciated. Thanks
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Guillaume
2018-11-11
编辑:Guillaume
2018-11-11
The error message is very clear, you're trying to add two matrices of different size, which is never possible. Since b1 is a 1xh vector, Train1*W1 must be a 1xh vector, and since W1 is a Dxh matrix, Train1 must be a 1xD vector for the product to be 1xh.
Therefore, your train1 is not 1xD. There is nothing we can do about that. Either use a train1 matrix that is 1xD or change your D to reflect the size of train1.
Note that it is never a good idea to hardcode the size of matrices. It is always safer to ask matlab for the actually size:
D = size(train1, 2);
would ensure it always match train1. Of course, train1 must only have one row.
edit: got confused between D and h but see comment below.
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