Examples of RBMRenderer

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

85
86
87
88
89
90
91
92
93
94
    String strCE = String.valueOf(CE).substring(0, 5);
   
   

    RBMRenderer rbm_hbias_test = new RBMRenderer();
    rbm_hbias_test.renderHiddenBiases(100, 100, rbm.hiddenBiasNeurons, "/tmp/Metronome/RBM/" + UUIDForRun + "/hbias_" + strCE + "_ce.png");
   
   
  }   
View Full Code Here

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

102
103
104
105
106
107
108
109
110
111
112
    // Matrix hbiasMean = network.getInput().mmul(network.getW()).addRowVector(network.gethBias());
   
    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);
   
  }
View Full Code Here

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

125
126
127
128
129
130
131
132
133
134
135
136
   
    //Matrix hbiasMean = MatrixUtils.addRowVector( rbm.getInput().times( rbm.connectionWeights ), rbm.getHiddenBias().viewRow(0) );
    //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");
   
    // "/tmp/Metronome/RBM/" + UUIDForRun + "/activations_" + strCE + "_ce.png"
    renderer.renderHistogram( rbm.connectionWeights, "/tmp/Metronome/RBM/" + UUIDForRun + "/weight_histogram_" + strCE + "_ce.png", 10 );
   
  } 
View Full Code Here

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

142
143
144
145
146
147
148
149
150
151
152
    if (CE.equals("init") == false) {
      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/RBM/" + UUIDForRun + "/filters_" + strCE + "_ce.png", 28, 28 );
   
  }   
View Full Code Here

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

27
28
29
30
31
32
33
34
35
36
37
   
    //Matrix hbiasMean = MatrixUtils.addRowVector( rbm.getInput().times( rbm.connectionWeights ), rbm.getHiddenBias().viewRow(0) );
    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/unit_test/RBMRenderer/activations_" + strCE + "_ce.png", scale );
   
  }
View Full Code Here

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

45
46
47
48
49
50
51
52
53
54
55
   
    //Matrix hbiasMean = MatrixUtils.addRowVector( rbm.getInput().times( rbm.connectionWeights ), rbm.getHiddenBias().viewRow(0) );
    //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.renderHistogram( rbm.connectionWeights, "/tmp/Metronome/unit_test/RBMRenderer/weight_histogram_" + strCE + "_ce.png", 10 );
   
  } 
View Full Code Here

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

56
57
58
59
60
61
62
63
64
65
66
 
  private static void renderFiltersToDisk( RestrictedBoltzmannMachine rbm, String CE ) throws Exception {
   
    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 );
   
  } 
View Full Code Here

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

159
160
161
162
163
164
165
166
167
168
169
170
171
  }
 
  @Test
  public void testComputeHistogramBucketIndex() {
   
    RBMRenderer renderer = new RBMRenderer();

    int bin = renderer.computeHistogramBucketIndex( -0.2, 0.05, -0.1, 10 );
   
    System.out.println("bin: " + bin);
   
    assertEquals( 2, bin );
   
View Full Code Here

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
   
   
    Matrix input = new DenseMatrix(data_simple2);   
   
   
    RBMRenderer renderer = new RBMRenderer();
/*   
    Map<Integer, Pair<String, Integer>> map = renderer.generateHistogramBuckets( input, 2 );
   
    for (Map.Entry<Integer, Pair<String, Integer>> entry : map.entrySet()) {
     
      Integer key = entry.getKey();
      Pair<String, Integer> value = entry.getValue();

      System.out.println(key + " => " + value.getFirst() + ",  " + value.getSecond());
       
    }
*/   
    Map<Integer, Integer> map = renderer.generateHistogramBuckets( input, 2 );

    for (Map.Entry<Integer, Integer> entry : map.entrySet()) {
     
      Integer key = entry.getKey();
      Integer val = entry.getValue();
View Full Code Here

Examples of tv.floe.metronome.deeplearning.rbm.visualization.RBMRenderer

241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
        };
   
    Matrix input = new DenseMatrix(data_simple);   
   
   
    RBMRenderer renderer = new RBMRenderer();
   
    //Map<Integer, Pair<String, Integer>> map = renderer.generateHistogramBuckets( input, 2 );
    Map<Integer, Integer> map = renderer.generateHistogramBuckets( input, 2 );
   
//    for (Map.Entry<Integer, Pair<String, Integer>> entry : map.entrySet()) {
    for (Map.Entry<Integer, Integer> entry : map.entrySet()) {
     
      Integer key = entry.getKey();
      Integer val = entry.getValue();
      //Pair<String, Integer> value = entry.getValue();

      //System.out.println(key + " => " + value.getFirst() + ",  " + value.getSecond());
      System.out.println(key + " => " + key + ",  " + val );
       
    }
   
    Integer val_key_0 = map.get(0);
    Integer val_key_1 = map.get(1);
   
   
    assertEquals( 10, val_key_0.intValue() );
    assertEquals( 5, val_key_1.intValue() );
   
   
    renderer.renderHistogram(input, "/tmp/debug_render_rbm_histogram.png", 2);
   
   
  } 
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.