name type units sz st inshape outshape inputs ----------- --------------------- ------- ---- ---- ---------- ---------- ---------------- input InputLayer 3x300x300 conv01 Conv2DDNNLayer 32 3 1 3x300x300 32x330x330 input pool01 MaxPool2DLayer 2 2 32x330x330 32x165x165 conv01 conv02 Conv2DDNNLayer 64 3 1 32x165x165 64x165x165 pool01 pool02 MaxPool2DLayer 2 2 64x165x165 64x82x82 conv02 conv03 Conv2DDNNLayer 128 3 1 64x82x82 128x82x82 pool02 conv04 Conv2DDNNLayer 64 1 1 128x82x82 64x82x82 conv03 conv05 Conv2DDNNLayer 128 3 1 64x82x82 128x82x82 conv04 pool03 MaxPool2DLayer 2 2 128x82x82 128x41x41 conv05 conv06 Conv2DDNNLayer 256 3 1 128x41x41 256x41x41 pool03 spdrp6 DropoutLayer 256x41x41 256x41x41 conv06 conv07 Conv2DDNNLayer 128 1 1 256x41x41 128x41x41 spdrp6 conv08 Conv2DDNNLayer 256 3 1 128x41x41 256x41x41 conv07 pool04 MaxPool2DLayer 2 2 256x41x41 256x20x20 conv08 conv09 Conv2DDNNLayer 512 3 1 256x20x20 512x20x20 pool04 spdrp9 DropoutLayer 512x20x20 512x20x20 conv09 conv10 Conv2DDNNLayer 256 1 1 512x20x20 256x20x20 spdrp9 conv11 Conv2DDNNLayer 512 3 1 256x20x20 512x20x20 conv10 spdrp11 DropoutLayer 512x20x20 512x20x20 conv11 conv12 Conv2DDNNLayer 256 1 1 512x20x20 256x20x20 spdrp11 conv13 Conv2DDNNLayer 512 3 1 256x20x20 512x20x20 conv12 pool05 MaxPool2DLayer 2 2 512x20x20 512x10x10 conv13 conv14 Conv2DDNNLayer 1024 3 1 512x10x10 1024x10x10 pool05 spdrp14 DropoutLayer 1024x10x10 1024x10x10 conv14 conv15 Conv2DDNNLayer 512 1 1 1024x10x10 512x10x10 spdrp14 spdrp15 DropoutLayer 512x10x10 512x10x10 conv15 conv16 Conv2DDNNLayer 1024 3 1 512x10x10 1024x10x10 spdrp15 spdrp16 DropoutLayer 1024x10x10 1024x10x10 conv16 conv17 Conv2DDNNLayer 512 1 1 1024x10x10 512x10x10 spdrp16 conv18 Conv2DDNNLayer 1024 3 1 512x10x10 1024x10x10 conv17 conv18nin Conv2DDNNLayer 64 1 1 1024x10x10 64x10x10 conv18 up1 TransposedConv2DLayer 64 4 2 64x10x10 64x20x20 conv18nin pool04nin Conv2DDNNLayer 64 1 1 256x20x20 64x20x20 pool04 pool04ninc Crop2dLayer 64x20x20 64x20x20 pool04nin pool04nincs NormalizeScale2dLayer 64x20x20 64x20x20 pool04ninc fuse1 ElemwiseSumLayer 64x20x20 up1, pool04nincs up2 TransposedConv2DLayer 64 4 2 64x20x20 64x40x40 fuse1 pool03nin Conv2DDNNLayer 64 1 1 128x41x41 64x41x41 pool03 pool03ninc Crop2dLayer 64x41x41 64x40x40 pool03nin pool03nincs NormalizeScale2dLayer 64x40x40 64x40x40 pool03ninc fuse2 ElemwiseSumLayer 64x40x40 up2, pool03nincs up3 TransposedConv2DLayer 64 4 2 64x40x40 64x80x80 fuse2 pool02nin Conv2DDNNLayer 64 1 1 64x82x82 64x82x82 pool02 pool02ninc Crop2dLayer 64x82x82 64x80x80 pool02nin pool02nincs NormalizeScale2dLayer 64x80x80 64x80x80 pool02ninc fuse3 ElemwiseSumLayer 64x80x80 up3, pool02nincs up4 TransposedConv2DLayer 64 4 2 64x80x80 64x160x160 fuse3 pool01nin Conv2DDNNLayer 64 1 1 32x165x165 64x165x165 pool01 pool01ninc Crop2dLayer 64x165x165 64x160x160 pool01nin pool01nincs NormalizeScale2dLayer 64x160x160 64x160x160 pool01ninc fuse4 ElemwiseSumLayer 64x160x160 up4, pool01nincs up5 TransposedConv2DLayer 64 4 2 64x160x160 64x320x320 fuse4 up5c Crop2dLayer 64x320x320 64x300x300 up5 up5ninc NINLayer 8 64x300x300 8x300x300 up5c