Examples of AparapiSoftReLU

Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiSoftReLU

206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
      if (!Util.isBias(l)) {
    if (nn.getOutputLayer() == l) {
        if (outputCC != null) {
      lc.addConnectionCalculator(l, outputCC);
        } else {
      AparapiSoftReLU c = new AparapiSoftReLU();
      c.addActivationFunction(new SoftmaxFunction());
      lc.addConnectionCalculator(l, c);
        }
    } else if (Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiConv2DSoftReLU());
    } else {
        lc.addConnectionCalculator(l, new AparapiSoftReLU());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }
View Full Code Here

Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiSoftReLU

369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
    }

    public static RBMLayerCalculator rbmSoftReluSoftRelu(RBM rbm) {
  RBMLayerCalculator lc = new RBMLayerCalculator();

  AparapiSoftReLU c1 = new AparapiSoftReLU();
  c1.addActivationFunction(new SoftmaxFunction());
  lc.addConnectionCalculator(rbm.getVisibleLayer(), c1);


  AparapiSoftReLU c2 = new AparapiSoftReLU();
  c2.addActivationFunction(new SoftmaxFunction());
  lc.addConnectionCalculator(rbm.getHiddenLayer(), c2);

  populateBiasLayers(lc, rbm);

  return lc;
View Full Code Here

Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiSoftReLU

237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
      if (!Util.isBias(l)) {
    if (nn.getOutputLayer() == l) {
        if (outputCC != null) {
      lc.addConnectionCalculator(l, outputCC);
        } else {
      lc.addConnectionCalculator(l, new AparapiSoftReLU());
        }
    } else if (Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiConv2DSoftReLU());
    } else {
        lc.addConnectionCalculator(l, new AparapiSoftReLU());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }
View Full Code Here

Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiSoftReLU

407
408
409
410
411
412
413
414
415
416
417
418
419
    public static RBMLayerCalculator rbmSigmoidSigmoid(RBM rbm, int batchSize) {
  return new RBMLayerCalculator(rbm, batchSize, new AparapiSigmoid(), new AparapiSigmoid(), new AparapiSigmoid());
    }

    public static RBMLayerCalculator rbmSoftReluSoftRelu(RBM rbm, int batchSize) {
  AparapiSoftReLU c1 = new AparapiSoftReLU();

  AparapiSoftReLU c2 = new AparapiSoftReLU();

  AparapiSoftReLU c3 = new AparapiSoftReLU();

  return new RBMLayerCalculator(rbm, batchSize, c1, c2, c3);
    }
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.