38 lines
1.4 KiB
Matlab
38 lines
1.4 KiB
Matlab
function rbm = rbmtrain(rbm, x, opts)
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assert(isfloat(x), 'x must be a float');
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assert(all(x(:)>=0) && all(x(:)<=1), 'all data in x must be in [0:1]');
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m = size(x, 1);
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numbatches = m / opts.batchsize;
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assert(rem(numbatches, 1) == 0, 'numbatches not integer');
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for i = 1 : opts.numepochs
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kk = randperm(m);
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err = 0;
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for l = 1 : numbatches
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batch = x(kk((l - 1) * opts.batchsize + 1 : l * opts.batchsize), :);
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v1 = batch;
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h1 = sigmrnd(repmat(rbm.c', opts.batchsize, 1) + v1 * rbm.W');
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v2 = sigmrnd(repmat(rbm.b', opts.batchsize, 1) + h1 * rbm.W);
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h2 = sigm(repmat(rbm.c', opts.batchsize, 1) + v2 * rbm.W');
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c1 = h1' * v1;
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c2 = h2' * v2;
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rbm.vW = rbm.momentum * rbm.vW + rbm.alpha * (c1 - c2) / opts.batchsize;
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rbm.vb = rbm.momentum * rbm.vb + rbm.alpha * sum(v1 - v2)' / opts.batchsize;
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rbm.vc = rbm.momentum * rbm.vc + rbm.alpha * sum(h1 - h2)' / opts.batchsize;
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rbm.W = rbm.W + rbm.vW;
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rbm.b = rbm.b + rbm.vb;
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rbm.c = rbm.c + rbm.vc;
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err = err + sum(sum((v1 - v2) .^ 2)) / opts.batchsize;
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end
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disp(['epoch ' num2str(i) '/' num2str(opts.numepochs) '. Average reconstruction error is: ' num2str(err / numbatches)]);
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end
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end
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