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- train with context

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git-svn-id: http://moon:8086/svn/software/trunk/projects/Rbm@762 b431acfa-c32f-4a4a-93f1-934dc6c82436
This commit is contained in:
jens
2022-01-09 08:34:59 +00:00
parent c2ffecd66a
commit 56335914ea
1 changed files with 19 additions and 3 deletions
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source/Rbm.cpp
+19 -3
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@@ -139,7 +139,8 @@ void Rbm::train(const arma::mat& batch, IListener* pListener)
arma::mat momentum_bias_v(arma::zeros(1, m_bv.n_cols));
arma::mat momentum_bias_hv(arma::zeros(1, m_bhv.n_cols));
arma::mat penalty_weights = arma::zeros(m_whv.n_rows, m_whv.n_cols);
arma::mat ctx = arma::zeros(1, numContext());
int trainingSizeRemain = batch.n_rows;
bool shouldAbort = false;
@@ -158,8 +159,23 @@ void Rbm::train(const arma::mat& batch, IListener* pListener)
arma::mat v_probs(miniBatchSizeActual, m_bv.n_cols);
arma::mat hid_states(miniBatchSizeActual, m_bhv.n_cols);
#endif
arma::mat c_states(arma::zeros(miniBatchSizeActual, m_ctx.n_cols));
arma::mat miniBatch(arma::join_rows(miniBatch_v, c_states));
arma::mat miniBatch;
if (numContext() > 0)
{
arma::mat c_states(arma::zeros(miniBatchSizeActual, numContext()));
for (int i=1; i < miniBatchSizeActual; i++)
{
arma::mat h = prob(v_to_h(arma::join_rows(miniBatch_v.row(i-1), ctx)));
ctx = h;
c_states.row(i) = ctx;
}
miniBatch = (arma::join_rows(miniBatch_v, c_states));
}
else
{
miniBatch = miniBatch_v;
}
arma::mat v_states(miniBatch);
// Create hidden layer base on training data