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Machine-Learning/Andrew Ng Stanford Coursera/Week 04/ex3/predictOneVsAll.m
Line 35 in 348fa77
Hey shouldn't this be the sigmoid fn ... logistic regression vs linear? [~,p]=max(sigmoid(X*all_theta'),[],2);
The text was updated successfully, but these errors were encountered:
g=1./(1+exp(-z)) sigmoid.zip
Sorry, something went wrong.
In nnCostFunction.m It's showing an error when I write
y_matrix = eye(num_labels)(y,:);
But not showing an error when I rewrite -
I = eye(num_labels); y_matrix = I(y,:);
It is easy to understand. m = length(y) g = ones(m,1) ./ ((ones(m,1) + exp(-z))
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Machine-Learning/Andrew Ng Stanford Coursera/Week 04/ex3/predictOneVsAll.m
Line 35 in 348fa77
Hey shouldn't this be the sigmoid fn ... logistic regression vs linear?
[~,p]=max(sigmoid(X*all_theta'),[],2);
The text was updated successfully, but these errors were encountered: