name type units sz st inshape outshape inputs -------------- --------------------------------- ------- ---- ---- ---------- ---------- ------------------- input InputLayer 3x300x300 conv1 Conv2DDNNLayer 96 7 2 3x300x300 96x227x227 input norm1 LocalResponseNormalization2DLayer 96x227x227 96x227x227 conv1 pool1 MaxPool2DLayer 3 3 96x227x227 96x75x75 norm1 conv2 Conv2DDNNLayer 256 5 1 96x75x75 256x71x71 pool1 pool2 MaxPool2DLayer 2 2 256x71x71 256x35x35 conv2 conv3 Conv2DDNNLayer 512 3 1 256x35x35 512x35x35 pool2 conv4 Conv2DDNNLayer 512 3 1 512x35x35 512x35x35 conv3 conv5 Conv2DDNNLayer 512 3 1 512x35x35 512x35x35 conv4 pool5 MaxPool2DLayer 3 3 512x35x35 512x11x11 conv5 conv_fc6 Conv2DDNNLayer 4096 6 1 512x11x11 4096x10x10 pool5 drop6 TiedDropoutLayer 4096x10x10 4096x10x10 conv_fc6 conv_fc7 Conv2DDNNLayer 4096 1 1 4096x10x10 4096x10x10 drop6 drop7 TiedDropoutLayer 4096x10x10 4096x10x10 conv_fc7 nin_fc7 NINLayer 8 4096x10x10 8x10x10 drop7 up1 TransposedConv2DLayer 8 4 2 8x10x10 8x20x20 nin_fc7 crop_conv5 Crop2dLayer 512x35x35 512x20x20 conv5 nin_crop_conv5 NINLayer 8 512x20x20 8x20x20 crop_conv5 fuse1 ElemwiseSumLayer 8x20x20 up1, nin_crop_conv5 up2 TransposedConv2DLayer 8 4 2 8x20x20 8x40x40 fuse1 nin_pool1 NINLayer 8 96x75x75 8x75x75 pool1 drop_nin_pool1 TiedDropoutLayer 8x75x75 8x75x75 nin_pool1 crop_nin_pool1 Crop2dLayer 8x75x75 8x40x40 drop_nin_pool1 fuse2 ElemwiseSumLayer 8x40x40 up2, crop_nin_pool1 up3 TransposedConv2DLayer 8 5 3 8x40x40 8x120x120 fuse2 nin_conv1 NINLayer 8 96x227x227 8x227x227 conv1 crop_nin_conv1 Crop2dLayer 8x227x227 8x120x120 nin_conv1 fuse3 ElemwiseSumLayer 8x120x120 up3, crop_nin_conv1