Examples of NeuralNetworkGradient

Examples of tv.floe.metronome.deeplearning.neuralnetwork.gradient.NeuralNetworkGradient

158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
      this.trainingDataset = input;
     
    }
   
    // actually performs CDk
    NeuralNetworkGradient gradient = getGradient(new Object[]{k,learningRate});
   
    //W.addi(gradient.getwGradient());
    this.connectionWeights = this.connectionWeights.plus(gradient.getwGradient());
   
    //hBias.addi(gradient.gethBiasGradient());
    this.hiddenBiasNeurons = this.hiddenBiasNeurons.plus(gradient.gethBiasGradient());
   
    //vBias.addi(gradient.getvBiasGradient());
    this.visibleBiasNeurons = this.visibleBiasNeurons.plus( gradient.getvBiasGradient() );
   

  }
View Full Code Here

Examples of tv.floe.metronome.deeplearning.neuralnetwork.gradient.NeuralNetworkGradient

291
292
293
294
295
296
297
298
299
   
   
   
    //this.hiddenBiasNeurons = this.hiddenBiasNeurons.plus( hBiasAdd );   

    return new NeuralNetworkGradient(wGradient, vBiasGradient, hBiasGradient);
   
   
  }
View Full Code Here

Examples of tv.floe.metronome.deeplearning.neuralnetwork.gradient.NeuralNetworkGradient

56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
         this.k = 15;
   
    k = this.k;

    // this is where the RBM actually performs CDk
    NeuralNetworkGradient gradient = network.getGradient( new Object[]{ k, lr } );
   
    Matrix wAdd = gradient.getwGradient();
    Matrix vBiasAdd = gradient.getvBiasGradient();
    Matrix hBiasAdd = gradient.gethBiasGradient();
   
    int idx = 0;
    for (int i = 0; i < MatrixUtils.length( wAdd ); i++) {
   
      buffer[idx++] = MatrixUtils.getElement( wAdd, i );
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.