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Moving course1 to course1 subdir.

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Vahagn Khachatryan
2017-02-12 08:17:57 +00:00
parent f26649af32
commit 0f459c597c
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machine_learning/course1/mlclass-ex4-008/mlclass-ex4/randInitializeWeights.m Normal file
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function W = randInitializeWeights(L_in, L_out)
%RANDINITIALIZEWEIGHTS Randomly initialize the weights of a layer with L_in
%incoming connections and L_out outgoing connections
% W = RANDINITIALIZEWEIGHTS(L_in, L_out) randomly initializes the weights
% of a layer with L_in incoming connections and L_out outgoing
% connections.
%
% Note that W should be set to a matrix of size(L_out, 1 + L_in) as
% the column row of W handles the "bias" terms
%
% You need to return the following variables correctly
W = zeros(L_out, 1 + L_in);
% ====================== YOUR CODE HERE ======================
% Instructions: Initialize W randomly so that we break the symmetry while
% training the neural network.
%
% Note: The first row of W corresponds to the parameters for the bias units
%
eps = 0.001;
W = rand(L_out,1+L_in)*(2*eps) - eps;
% =========================================================================
end