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visualize_rbm.m
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visualize_rbm.m
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% visualize_rbm - Visualize
% Copyright (C) 2011 KyungHyun Cho, Tapani Raiko, Alexander Ilin
%
% This program is free software; you can redistribute it and/or
% modify it under the terms of the GNU General Public License
% as published by the Free Software Foundation; either version 2
% of the License, or (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program; if not, write to the Free Software
% Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
%
function [f] = visualize_rbm(f, R, v0, vf, h0, hf, W_grad, vbias_grad, hbias_grad);
n_visible = floor(sqrt(size(R.W,1))).^2;
set(0, 'CurrentFigure', f);
subplot(3,3,1);
visualize(R.W(1:n_visible,:), 1);
title ('Weights');
subplot(3,3,2);
visualize(R.vbias(1:n_visible), 1);
if R.adaptive_lrate.use == 1
subplot(3,3,3);
semilogy(R.signals.lrates);
title('Learning rates');
end
subplot(3,3,4);
visualize(v0(:,1:n_visible)', 1);
title ('Data particles');
subplot(3,3,5);
visualize(vf(:,1:n_visible)', 1);
title ('Fantasy particles');
subplot(3,3,6);
plot(R.signals.recon_errors);
title ('Reconstruction errors');
subplot(3,3,7);
visualize(W_grad(1:n_visible,:), 1);
title ('Gradient (Weights)');
subplot(3,3,8);
hist(mean(h0, 1));
xlim([0 1]);
title ('Average activation (data)');
subplot(3,3,9);
hist(mean(hf, 1));
xlim([0 1]);
title ('Average activation (model)');