Package com.github.neuralnetworks.training.backpropagation

Examples of com.github.neuralnetworks.training.backpropagation.BackpropagationMaxPooling2D.calculate()

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  vp.addValues(c.getOutputLayer(), o);
  vp.addValues(c.getInputLayer(), bpo);

  BackpropagationMaxPooling2D bp = new BackpropagationMaxPooling2D();
  bp.setActivations(activations);
  bp.calculate(connections, vp, c.getInputLayer());

  assertEquals(true, bpo.get(5, 0) == a1.get(5, 0));
  assertEquals(true, bpo.get(7, 0) == a1.get(7, 0));
  assertEquals(true, bpo.get(13, 0) == a1.get(13, 0));
  assertEquals(true, bpo.get(14, 0) == a1.get(14, 0));
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  ValuesProvider vp = TensorFactory.tensorProvider(c, 2, true);
  TensorFactory.copy(activations.get(c.getOutputLayer()), vp.get(c.getOutputLayer()));

  BackpropagationMaxPooling2D bp = new BackpropagationMaxPooling2D();
  bp.setActivations(activations);
  bp.calculate(connections, vp, c.getInputLayer());

  Tensor a = activations.get(c.getInputLayer());
  Tensor bpo = vp.get(c.getInputLayer());

  assertEquals(true, bpo.get(0, 1, 1, 0) == a.get(0, 1, 1, 0));
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