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Machine learning assignment 4

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Vahagn Khachatryan
2017-05-16 22:11:33 +01:00
parent 18453d2e37
commit a9cee6e867
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machine_learning/course2/assignment4/configuration_goodness.m Normal file
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function G = configuration_goodness(rbm_w, visible_state, hidden_state)
% <rbm_w> is a matrix of size <number of hidden units> by <number of visible units>
% <visible_state> is a binary matrix of size <number of visible units> by <number of configurations that we're handling in parallel>.
% <hidden_state> is a binary matrix of size <number of hidden units> by <number of configurations that we're handling in parallel>.
% This returns a scalar: the mean over cases of the goodness (negative energy) of the described configurations.
cases = size( visible_state, 2 );
sisj_wij = rbm_w .* (hidden_state * visible_state');
G = sum( sum( sisj_wij )) / cases;
end