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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/visible_state_to_hidden_probabilities.m Normal file
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function hidden_probability = visible_state_to_hidden_probabilities(rbm_w, visible_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>.
% The returned value is a matrix of size <number of hidden units> by <number of configurations that we're handling in parallel>.
% This takes in the (binary) states of the visible units, and returns the activation probabilities of the hidden units conditional on those states.
deltaE = rbm_w * visible_state;
hidden_probability = logistic(deltaE);
end