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#6284 Why comment out the full connection layer for VGG16 #6348

Merged
merged 9 commits into from
Sep 22, 2018
Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@
import org.deeplearning4j.nn.conf.WorkspaceMode;
import org.deeplearning4j.nn.conf.inputs.InputType;
import org.deeplearning4j.nn.conf.layers.ConvolutionLayer;
import org.deeplearning4j.nn.conf.layers.DenseLayer;
import org.deeplearning4j.nn.conf.layers.OutputLayer;
import org.deeplearning4j.nn.conf.layers.SubsamplingLayer;
import org.deeplearning4j.nn.graph.ComputationGraph;
Expand Down Expand Up @@ -156,16 +157,16 @@ public ComputationGraphConfiguration conf() {
.layer(17, new SubsamplingLayer.Builder()
.poolingType(SubsamplingLayer.PoolingType.MAX).kernelSize(2, 2)
.stride(2, 2).build(), "16")
// .layer(18, new DenseLayer.Builder().nOut(4096).dropOut(0.5)
// .build())
// .layer(19, new DenseLayer.Builder().nOut(4096).dropOut(0.5)
// .build())
.layer(18, new OutputLayer.Builder(
.layer(18, new DenseLayer.Builder().nOut(4096).dropOut(0.5)
.build())
.layer(19, new DenseLayer.Builder().nOut(4096).dropOut(0.5)
.build())
.layer(20, new OutputLayer.Builder(
LossFunctions.LossFunction.NEGATIVELOGLIKELIHOOD).name("output")
.nOut(numClasses).activation(Activation.SOFTMAX) // radial basis function required
.build(), "17")
.setOutputs("18")

.build(), "19")
.setOutputs("20")
.backprop(true).pretrain(false)
.setInputTypes(InputType.convolutionalFlat(inputShape[2], inputShape[1], inputShape[0]))
.build();

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