Package tv.floe.metronome.deeplearning.rbm.visualization

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer.renderActivations()

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    Matrix hbiasMean = MatrixUtils.sigmoid( MatrixUtils.addRowVector( rbm.getInput().times( rbm.connectionWeights ), rbm.getHiddenBias().viewRow(0) ) );

    RBMRenderer renderer = new RBMRenderer();
    //rbm_hbias_test.renderHiddenBiases(100, 100, hbiasMean, "/tmp/Metronome/RBM/" + UUIDForRun + "/activations_" + strCE + "_ce.png");
   
    renderer.renderActivations(100, 100, hbiasMean, "/tmp/Metronome/RBM/" + UUIDForRun + "/activations_" + strCE + "_ce.png", 1);
   
  }
 
 
  private void renderWeightValuesToDisk( RestrictedBoltzmannMachine rbm, String CE ) throws InterruptedException {
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    RBMRenderer renderer = new RBMRenderer();
    //rbm_hbias_test.renderHiddenBiases(100, 100, hbiasMean, "/tmp/Metronome/RBM/" + UUIDForRun + "/activations_" + strCE + "_ce.png");
   
    renderer.renderActivations(100, 100, hbiasMean, "/tmp/Metronome/unit_test/RBMRenderer/activations_" + strCE + "_ce.png", scale );
   
  }
 
 
  private static void renderWeightValuesToDisk( RestrictedBoltzmannMachine rbm, String CE ) throws InterruptedException {
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