DL4JVGG16
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ImageNet Pretrained
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VertexName (VertexType) nIn,nOut TotalParams ParamsShape Vertex Inputs
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input_1 (InputVertex) -,- - - -
block1_conv1 (ConvolutionLayer) 3,64 1,792 W:{64,3,3,3}, b:{1,64} [input_1]
block1_conv2 (ConvolutionLayer) 64,64 36,928 W:{64,64,3,3}, b:{1,64} [block1_conv1]
block1_pool (SubsamplingLayer) -,- 0 - [block1_conv2]
block2_conv1 (ConvolutionLayer) 64,128 73,856 W:{128,64,3,3}, b:{1,128} [block1_pool]
block2_conv2 (ConvolutionLayer) 128,128 147,584 W:{128,128,3,3}, b:{1,128} [block2_conv1]
block2_pool (SubsamplingLayer) -,- 0 - [block2_conv2]
block3_conv1 (ConvolutionLayer) 128,256 295,168 W:{256,128,3,3}, b:{1,256} [block2_pool]
block3_conv2 (ConvolutionLayer) 256,256 590,080 W:{256,256,3,3}, b:{1,256} [block3_conv1]
block3_conv3 (ConvolutionLayer) 256,256 590,080 W:{256,256,3,3}, b:{1,256} [block3_conv2]
block3_pool (SubsamplingLayer) -,- 0 - [block3_conv3]
block4_conv1 (ConvolutionLayer) 256,512 1,180,160 W:{512,256,3,3}, b:{1,512} [block3_pool]
block4_conv2 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [block4_conv1]
block4_conv3 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [block4_conv2]
block4_pool (SubsamplingLayer) -,- 0 - [block4_conv3]
block5_conv1 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [block4_pool]
block5_conv2 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [block5_conv1]
block5_conv3 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [block5_conv2]
block5_pool (SubsamplingLayer) -,- 0 - [block5_conv3]
flatten (PreprocessorVertex) -,- - - [block5_pool]
fc1 (DenseLayer) 25088,4096 102,764,544 W:{25088,4096}, b:{1,4096} [flatten]
fc2 (DenseLayer) 4096,4096 16,781,312 W:{4096,4096}, b:{1,4096} [fc1]
predictions (DenseLayer) 4096,1000 4,097,000 W:{4096,1000}, b:{1,1000} [fc2]
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Total Parameters: 138,357,544
Trainable Parameters: 138,357,544
Frozen Parameters: 0
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VGGFACE Pretrained
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VertexName (VertexType) nIn,nOut TotalParams ParamsShape Vertex Inputs
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input_1 (InputVertex) -,- - - -
conv1_1 (ConvolutionLayer) 3,64 1,792 W:{64,3,3,3}, b:{1,64} [input_1]
conv1_2 (ConvolutionLayer) 64,64 36,928 W:{64,64,3,3}, b:{1,64} [conv1_1]
pool1 (SubsamplingLayer) -,- 0 - [conv1_2]
conv2_1 (ConvolutionLayer) 64,128 73,856 W:{128,64,3,3}, b:{1,128} [pool1]
conv2_2 (ConvolutionLayer) 128,128 147,584 W:{128,128,3,3}, b:{1,128} [conv2_1]
pool2 (SubsamplingLayer) -,- 0 - [conv2_2]
conv3_1 (ConvolutionLayer) 128,256 295,168 W:{256,128,3,3}, b:{1,256} [pool2]
conv3_2 (ConvolutionLayer) 256,256 590,080 W:{256,256,3,3}, b:{1,256} [conv3_1]
conv3_3 (ConvolutionLayer) 256,256 590,080 W:{256,256,3,3}, b:{1,256} [conv3_2]
pool3 (SubsamplingLayer) -,- 0 - [conv3_3]
conv4_1 (ConvolutionLayer) 256,512 1,180,160 W:{512,256,3,3}, b:{1,512} [pool3]
conv4_2 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [conv4_1]
conv4_3 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [conv4_2]
pool4 (SubsamplingLayer) -,- 0 - [conv4_3]
conv5_1 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [pool4]
conv5_2 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [conv5_1]
conv5_3 (ConvolutionLayer) 512,512 2,359,808 W:{512,512,3,3}, b:{1,512} [conv5_2]
pool5 (SubsamplingLayer) -,- 0 - [conv5_3]
flatten (PreprocessorVertex) -,- - - [pool5]
fc6 (DenseLayer) 25088,4096 102,764,544 W:{25088,4096}, b:{1,4096} [flatten]
fc7 (DenseLayer) 4096,4096 16,781,312 W:{4096,4096}, b:{1,4096} [fc6]
fc8 (DenseLayer) 4096,2622 10,742,334 W:{4096,2622}, b:{1,2622} [fc7]
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Total Parameters: 145,002,878
Trainable Parameters: 145,002,878
Frozen Parameters: 0
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