List of renderFilters() Examples

Examples of renderFilters()

tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer.renderFilters()
Once the probability image and weight histograms are behaving satisfactorily, we plot the learned filter for each hidden neuron, one per column of W. Each filter is of the same dimension as the input data, and it is most useful to visualize the filters in the same way as the input data is visualized. @throws Exception

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

    


    RBMRenderer renderer = new RBMRenderer();
    
    //renderer.renderHistogram( rbm.connectionWeights, "/tmp/Metronome/unit_test/RBMRenderer/weight_histogram_" + strCE + "_ce.png", 10 );
    renderer.renderFilters(rbm.connectionWeights, "/tmp/Metronome/RBM/" + UUIDForRun + "/filters_" + strCE + "_ce.png", 28, 28 );
    
  }    
  
  public void renderBatchOfReconstructions(RestrictedBoltzmannMachine rbm, DataSet input, boolean toDisk, String CE, boolean renderRealImage) throws Exception {

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

    String strCE = String.valueOf(CE).substring(0, 5);


    RBMRenderer renderer = new RBMRenderer();
    
    //renderer.renderHistogram( rbm.connectionWeights, "/tmp/Metronome/unit_test/RBMRenderer/weight_histogram_" + strCE + "_ce.png", 10 );
    renderer.renderFilters(rbm.connectionWeights, "/tmp/Metronome/unit_test/RBMRenderer/filter_unit_test.png", 28, 28 );
    
  }  
  
  @Test
  public void testRBMRenders() throws InterruptedException {

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