DL4JVGG19

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========================================================================================================
VertexName (VertexType)           nIn,nOut     TotalParams   ParamsShape                  Vertex Inputs
========================================================================================================
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_conv4 (ConvolutionLayer)   256,256      590,080       W:{256,256,3,3}, b:{1,256}   [block3_conv3]
block3_pool (SubsamplingLayer)    -,-          0             -                            [block3_conv4]
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_conv4 (ConvolutionLayer)   512,512      2,359,808     W:{512,512,3,3}, b:{1,512}   [block4_conv3]
block4_pool (SubsamplingLayer)    -,-          0             -                            [block4_conv4]
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_conv4 (ConvolutionLayer)   512,512      2,359,808     W:{512,512,3,3}, b:{1,512}   [block5_conv3]
block5_pool (SubsamplingLayer)    -,-          0             -                            [block5_conv4]
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]
--------------------------------------------------------------------------------------------------------
            Total Parameters:  143,667,240
        Trainable Parameters:  143,667,240
           Frozen Parameters:  0
========================================================================================================