- correct energy calc. for BB-RBMs

git-svn-id: http://moon:8086/svn/software/trunk/projects/RBM@39 b431acfa-c32f-4a4a-93f1-934dc6c82436
This commit is contained in:
2014-10-25 15:34:12 +00:00
parent 025a45eb83
commit 6b2fe10d05
5 changed files with 14 additions and 41 deletions
-9
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@@ -23,15 +23,6 @@ public:
{ {
} }
double getEnergy(const Weights &weights)
{
double energy;
energy = -((Weights&)weights).hiddenBias().transpose() * states();
return energy;
}
private: private:
double accum(Layer &layer, Weights &weights, uint32_t index) double accum(Layer &layer, Weights &weights, uint32_t index)
{ {
+3 -6
View File
@@ -124,8 +124,6 @@ public:
return m_numUnits; return m_numUnits;
} }
virtual double getEnergy(const Weights &weights) = 0;
private: private:
noise_gen_t m_noise; noise_gen_t m_noise;
@@ -145,17 +143,16 @@ protected:
} }
} }
void gaussProb(const VectorXd &x, double sigma) void gaussProb(const VectorXd &mu, double sigma)
{ {
uint32_t i; uint32_t i;
double var = sigma*sigma; double var = sigma*sigma;
double k = 1.0/sqrt(2*3.14159265359*var); double k = 1.0/sqrt(2*3.14159265359*var);
double mu = 0;
for (i=0; i < m_numUnits; i++) for (i=0; i < m_numUnits; i++)
{ {
double x2 = ((double)x[i]-mu); double x2 = (1-(double)mu[i]);
m_probs[i] = 1-exp(-x2*x2/(2*var)); m_probs[i] = k*exp(-0.5*x2*x2/var);
} }
} }
}; };
+4
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@@ -639,6 +639,7 @@ void MainComponent::sliderValueChanged (Slider* sliderThatWasMoved)
VisibleLayer &p = (VisibleLayer&)m_layers.getAt((int)sliderThatWasMoved->getValue()); VisibleLayer &p = (VisibleLayer&)m_layers.getAt((int)sliderThatWasMoved->getValue());
DrawTraining->setData(p.states()); DrawTraining->setData(p.states());
redrawReconstruction(); redrawReconstruction();
} }
//[/UserSliderCode_patterSlider] //[/UserSliderCode_patterSlider]
} }
@@ -850,6 +851,9 @@ void MainComponent::redrawReconstruction()
{ {
DrawHidden->setData(m_pRbm->toHidden(DrawTraining->getData())); DrawHidden->setData(m_pRbm->toHidden(DrawTraining->getData()));
DrawReconstruction->setData(m_pRbm->toVisible(DrawHidden->getData())); DrawReconstruction->setData(m_pRbm->toVisible(DrawHidden->getData()));
double energy = m_pRbm->getEnergy(DrawTraining->getData(), DrawHidden->getData());
cout << "Energy(" << 0 <<") = " << energy << endl;
} }
void MainComponent::redrawWeights(int index) void MainComponent::redrawWeights(int index)
+7 -17
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@@ -105,7 +105,6 @@ public:
sumBiasH.fill(0); sumBiasH.fill(0);
for (i=0; i < vt.getSize(); i++) for (i=0; i < vt.getSize(); i++)
{ {
//t = (uint32_t)(0.5 + (vt.getSize()-1)*Noise_Uniform(&m_noise, 0.5));
t = i; t = i;
h.probsUpdateLogistic(vt[t], m_w, m_lambda, sigma); h.probsUpdateLogistic(vt[t], m_w, m_lambda, sigma);
@@ -221,24 +220,15 @@ public:
return m_progress; return m_progress;
} }
double getEnergy(VisibleLayer &v, HiddenLayer &h) double getEnergy(const VectorXd& visible, const VectorXd& hidden)
{ {
uint32_t i, j;
double energy; double energy;
energy = -v.getEnergy(m_w) - h.getEnergy(m_w); energy = m_w.visibleBias().transpose() * visible;
energy += m_w.hiddenBias().transpose() * hidden;
energy += visible.transpose() * m_w.weights() * hidden;
for (i=0; i < h.getNumUnits(); i++) return -energy/(m_sigma*m_sigma);
{
for (j=0; j < v.getNumUnits(); j++)
{
// energy -= v.getStates()[j] * h.getStates()[i] * m_w.getWeights()[i][j];
}
}
// ToDo: make this correct
// energy -= (v.states().transpose() * h.states()); // * m_w.weights();
return energy;
} }
void prob(LayerArray<VisibleLayer> &vts) void prob(LayerArray<VisibleLayer> &vts)
@@ -278,11 +268,11 @@ public:
z = 0; z = 0;
for (j=0; j < vts.getSize(); j++) for (j=0; j < vts.getSize(); j++)
{ {
z += exp(-getEnergy(vts.getAt(j), h[i])); z += exp(-getEnergy(vts.getAt(j).states(), h[i].states()));
} }
for (j=0; j < vts.getSize(); j++) for (j=0; j < vts.getSize(); j++)
{ {
p = exp(-getEnergy(vts.getAt(j), h[i]))/z; p = exp(-getEnergy(vts.getAt(j).states(), h[i].states()))/z;
cout << p << endl; cout << p << endl;
} }
cout << endl; cout << endl;
-9
View File
@@ -23,15 +23,6 @@ public:
{ {
} }
double getEnergy(const Weights &weights)
{
double energy;
energy = -((Weights&)weights).visibleBias().transpose() * states();
return energy;
}
private: private:
double accum(Layer &layer, Weights &weights, uint32_t index) double accum(Layer &layer, Weights &weights, uint32_t index)
{ {