data
?[]
Convolution
conv1
float32[32,3,3,3]
filter
〈32×3×3×3〉
BatchNorm
conv1/bn
float32[32]
gamma
〈32〉
float32[32]
beta
〈32〉
float32[1]
mean
〈1〉
Scale
conv1/scale
float32[32]
scale
〈32〉
float32[32]
bias
〈32〉
ReLU
relu1
Convolution
conv2_1/expand
float32[32,32,1,1]
filter
〈32×32×1×1〉
BatchNorm
conv2_1/expand/bn
float32[32]
gamma
〈32〉
float32[32]
beta
〈32〉
float32[1]
mean
〈1〉
Scale
conv2_1/expand/scale
float32[32]
scale
〈32〉
float32[32]
bias
〈32〉
ReLU
relu2_1/expand
Convolution
conv2_1/dwise
float32[32,1,3,3]
filter
〈32×1×3×3〉
BatchNorm
conv2_1/dwise/bn
float32[32]
gamma
〈32〉
float32[32]
beta
〈32〉
float32[1]
mean
〈1〉
Scale
conv2_1/dwise/scale
float32[32]
scale
〈32〉
float32[32]
bias
〈32〉
ReLU
relu2_1/dwise
Convolution
conv2_1/linear
float32[16,32,1,1]
filter
〈16×32×1×1〉
BatchNorm
conv2_1/linear/bn
float32[16]
gamma
〈16〉
float32[16]
beta
〈16〉
float32[1]
mean
〈1〉
Scale
conv2_1/linear/scale
float32[16]
scale
〈16〉
float32[16]
bias
〈16〉
Convolution
conv2_2/expand
float32[96,16,1,1]
filter
〈96×16×1×1〉
BatchNorm
conv2_2/expand/bn
float32[96]
gamma
〈96〉
float32[96]
beta
〈96〉
float32[1]
mean
〈1〉
Scale
conv2_2/expand/scale
float32[96]
scale
〈96〉
float32[96]
bias
〈96〉
ReLU
relu2_2/expand
Convolution
conv2_2/dwise
float32[96,1,3,3]
filter
〈96×1×3×3〉
BatchNorm
conv2_2/dwise/bn
float32[96]
gamma
〈96〉
float32[96]
beta
〈96〉
float32[1]
mean
〈1〉
Scale
conv2_2/dwise/scale
float32[96]
scale
〈96〉
float32[96]
bias
〈96〉
ReLU
relu2_2/dwise
Convolution
conv2_2/linear
float32[24,96,1,1]
filter
〈24×96×1×1〉
BatchNorm
conv2_2/linear/bn
float32[24]
gamma
〈24〉
float32[24]
beta
〈24〉
float32[1]
mean
〈1〉
Scale
conv2_2/linear/scale
float32[24]
scale
〈24〉
float32[24]
bias
〈24〉
Split
conv2_2/linear/bn_conv2_2/linear/scale_0_split
Convolution
conv3_1/expand
float32[144,24,1,1]
filter
〈144×24×1×1〉
BatchNorm
conv3_1/expand/bn
float32[144]
gamma
〈144〉
float32[144]
beta
〈144〉
float32[1]
mean
〈1〉
Scale
conv3_1/expand/scale
float32[144]
scale
〈144〉
float32[144]
bias
〈144〉
ReLU
relu3_1/expand
Convolution
conv3_1/dwise
float32[144,1,3,3]
filter
〈144×1×3×3〉
BatchNorm
conv3_1/dwise/bn
float32[144]
gamma
〈144〉
float32[144]
beta
〈144〉
float32[1]
mean
〈1〉
Scale
conv3_1/dwise/scale
float32[144]
scale
〈144〉
float32[144]
bias
〈144〉
ReLU
relu3_1/dwise
Convolution
conv3_1/linear
float32[24,144,1,1]
filter
〈24×144×1×1〉
BatchNorm
conv3_1/linear/bn
float32[24]
gamma
〈24〉
float32[24]
beta
〈24〉
float32[1]
mean
〈1〉
Scale
conv3_1/linear/scale
float32[24]
scale
〈24〉
float32[24]
bias
〈24〉
Eltwise
block_3_1
Convolution
conv3_2/expand
float32[144,24,1,1]
filter
〈144×24×1×1〉
BatchNorm
conv3_2/expand/bn
float32[144]
gamma
〈144〉
float32[144]
beta
〈144〉
float32[1]
mean
〈1〉
Scale
conv3_2/expand/scale
float32[144]
scale
〈144〉
float32[144]
bias
〈144〉
ReLU
relu3_2/expand
Convolution
conv3_2/dwise
float32[144,1,3,3]
filter
〈144×1×3×3〉
BatchNorm
conv3_2/dwise/bn
float32[144]
gamma
〈144〉
float32[144]
beta
〈144〉
float32[1]
mean
〈1〉
Scale
conv3_2/dwise/scale
float32[144]
scale
〈144〉
float32[144]
bias
〈144〉
ReLU
relu3_2/dwise
Convolution
conv3_2/linear
float32[32,144,1,1]
filter
〈32×144×1×1〉
BatchNorm
conv3_2/linear/bn
float32[32]
gamma
〈32〉
float32[32]
beta
〈32〉
float32[1]
mean
〈1〉
Scale
conv3_2/linear/scale
float32[32]
scale
〈32〉
float32[32]
bias
〈32〉
Split
conv3_2/linear/bn_conv3_2/linear/scale_0_split
Convolution
conv4_1/expand
float32[192,32,1,1]
filter
〈192×32×1×1〉
BatchNorm
conv4_1/expand/bn
float32[192]
gamma
〈192〉
float32[192]
beta
〈192〉
float32[1]
mean
〈1〉
Scale
conv4_1/expand/scale
float32[192]
scale
〈192〉
float32[192]
bias
〈192〉
ReLU
relu4_1/expand
Convolution
conv4_1/dwise
float32[192,1,3,3]
filter
〈192×1×3×3〉
BatchNorm
conv4_1/dwise/bn
float32[192]
gamma
〈192〉
float32[192]
beta
〈192〉
float32[1]
mean
〈1〉
Scale
conv4_1/dwise/scale
float32[192]
scale
〈192〉
float32[192]
bias
〈192〉
ReLU
relu4_1/dwise
Convolution
conv4_1/linear
float32[32,192,1,1]
filter
〈32×192×1×1〉
BatchNorm
conv4_1/linear/bn
float32[32]
gamma
〈32〉
float32[32]
beta
〈32〉
float32[1]
mean
〈1〉
Scale
conv4_1/linear/scale
float32[32]
scale
〈32〉
float32[32]
bias
〈32〉
Eltwise
block_4_1
Split
block_4_1_block_4_1_0_split
Convolution
conv4_2/expand
float32[192,32,1,1]
filter
〈192×32×1×1〉
BatchNorm
conv4_2/expand/bn
float32[192]
gamma
〈192〉
float32[192]
beta
〈192〉
float32[1]
mean
〈1〉
Scale
conv4_2/expand/scale
float32[192]
scale
〈192〉
float32[192]
bias
〈192〉
ReLU
relu4_2/expand
Convolution
conv4_2/dwise
float32[192,1,3,3]
filter
〈192×1×3×3〉
BatchNorm
conv4_2/dwise/bn
float32[192]
gamma
〈192〉
float32[192]
beta
〈192〉
float32[1]
mean
〈1〉
Scale
conv4_2/dwise/scale
float32[192]
scale
〈192〉
float32[192]
bias
〈192〉
ReLU
relu4_2/dwise
Convolution
conv4_2/linear
float32[32,192,1,1]
filter
〈32×192×1×1〉
BatchNorm
conv4_2/linear/bn
float32[32]
gamma
〈32〉
float32[32]
beta
〈32〉
float32[1]
mean
〈1〉
Scale
conv4_2/linear/scale
float32[32]
scale
〈32〉
float32[32]
bias
〈32〉
Eltwise
block_4_2
Convolution
conv4_3/expand
float32[192,32,1,1]
filter
〈192×32×1×1〉
BatchNorm
conv4_3/expand/bn
float32[192]
gamma
〈192〉
float32[192]
beta
〈192〉
float32[1]
mean
〈1〉
Scale
conv4_3/expand/scale
float32[192]
scale
〈192〉
float32[192]
bias
〈192〉
ReLU
relu4_3/expand
Convolution
conv4_3/dwise
float32[192,1,3,3]
filter
〈192×1×3×3〉
BatchNorm
conv4_3/dwise/bn
float32[192]
gamma
〈192〉
float32[192]
beta
〈192〉
float32[1]
mean
〈1〉
Scale
conv4_3/dwise/scale
float32[192]
scale
〈192〉
float32[192]
bias
〈192〉
ReLU
relu4_3/dwise
Convolution
conv4_3/linear
float32[64,192,1,1]
filter
〈64×192×1×1〉
BatchNorm
conv4_3/linear/bn
float32[64]
gamma
〈64〉
float32[64]
beta
〈64〉
float32[1]
mean
〈1〉
Scale
conv4_3/linear/scale
float32[64]
scale
〈64〉
float32[64]
bias
〈64〉
Split
conv4_3/linear/bn_conv4_3/linear/scale_0_split
Convolution
conv4_4/expand
float32[384,64,1,1]
filter
〈384×64×1×1〉
BatchNorm
conv4_4/expand/bn
float32[384]
gamma
〈384〉
float32[384]
beta
〈384〉
float32[1]
mean
〈1〉
Scale
conv4_4/expand/scale
float32[384]
scale
〈384〉
float32[384]
bias
〈384〉
ReLU
relu4_4/expand
Convolution
conv4_4/dwise
float32[384,1,3,3]
filter
〈384×1×3×3〉
BatchNorm
conv4_4/dwise/bn
float32[384]
gamma
〈384〉
float32[384]
beta
〈384〉
float32[1]
mean
〈1〉
Scale
conv4_4/dwise/scale
float32[384]
scale
〈384〉
float32[384]
bias
〈384〉
ReLU
relu4_4/dwise
Convolution
conv4_4/linear
float32[64,384,1,1]
filter
〈64×384×1×1〉
BatchNorm
conv4_4/linear/bn
float32[64]
gamma
〈64〉
float32[64]
beta
〈64〉
float32[1]
mean
〈1〉
Scale
conv4_4/linear/scale
float32[64]
scale
〈64〉
float32[64]
bias
〈64〉
Eltwise
block_4_4
Split
block_4_4_block_4_4_0_split
Convolution
conv4_5/expand
float32[384,64,1,1]
filter
〈384×64×1×1〉
BatchNorm
conv4_5/expand/bn
float32[384]
gamma
〈384〉
float32[384]
beta
〈384〉
float32[1]
mean
〈1〉
Scale
conv4_5/expand/scale
float32[384]
scale
〈384〉
float32[384]
bias
〈384〉
ReLU
relu4_5/expand
Convolution
conv4_5/dwise
float32[384,1,3,3]
filter
〈384×1×3×3〉
BatchNorm
conv4_5/dwise/bn
float32[384]
gamma
〈384〉
float32[384]
beta
〈384〉
float32[1]
mean
〈1〉
Scale
conv4_5/dwise/scale
float32[384]
scale
〈384〉
float32[384]
bias
〈384〉
ReLU
relu4_5/dwise
Convolution
conv4_5/linear
float32[64,384,1,1]
filter
〈64×384×1×1〉
BatchNorm
conv4_5/linear/bn
float32[64]
gamma
〈64〉
float32[64]
beta
〈64〉
float32[1]
mean
〈1〉
Scale
conv4_5/linear/scale
float32[64]
scale
〈64〉
float32[64]
bias
〈64〉
Eltwise
block_4_5
Split
block_4_5_block_4_5_0_split
Convolution
conv4_6/expand
float32[384,64,1,1]
filter
〈384×64×1×1〉
BatchNorm
conv4_6/expand/bn
float32[384]
gamma
〈384〉
float32[384]
beta
〈384〉
float32[1]
mean
〈1〉
Scale
conv4_6/expand/scale
float32[384]
scale
〈384〉
float32[384]
bias
〈384〉
ReLU
relu4_6/expand
Convolution
conv4_6/dwise
float32[384,1,3,3]
filter
〈384×1×3×3〉
BatchNorm
conv4_6/dwise/bn
float32[384]
gamma
〈384〉
float32[384]
beta
〈384〉
float32[1]
mean
〈1〉
Scale
conv4_6/dwise/scale
float32[384]
scale
〈384〉
float32[384]
bias
〈384〉
ReLU
relu4_6/dwise
Convolution
conv4_6/linear
float32[64,384,1,1]
filter
〈64×384×1×1〉
BatchNorm
conv4_6/linear/bn
float32[64]
gamma
〈64〉
float32[64]
beta
〈64〉
float32[1]
mean
〈1〉
Scale
conv4_6/linear/scale
float32[64]
scale
〈64〉
float32[64]
bias
〈64〉
Eltwise
block_4_6
Convolution
conv4_7/expand
float32[384,64,1,1]
filter
〈384×64×1×1〉
BatchNorm
conv4_7/expand/bn
float32[384]
gamma
〈384〉
float32[384]
beta
〈384〉
float32[1]
mean
〈1〉
Scale
conv4_7/expand/scale
float32[384]
scale
〈384〉
float32[384]
bias
〈384〉
ReLU
relu4_7/expand
Convolution
conv4_7/dwise
float32[384,1,3,3]
filter
〈384×1×3×3〉
BatchNorm
conv4_7/dwise/bn
float32[384]
gamma
〈384〉
float32[384]
beta
〈384〉
float32[1]
mean
〈1〉
Scale
conv4_7/dwise/scale
float32[384]
scale
〈384〉
float32[384]
bias
〈384〉
ReLU
relu4_7/dwise
Convolution
conv4_7/linear
float32[96,384,1,1]
filter
〈96×384×1×1〉
BatchNorm
conv4_7/linear/bn
float32[96]
gamma
〈96〉
float32[96]
beta
〈96〉
float32[1]
mean
〈1〉
Scale
conv4_7/linear/scale
float32[96]
scale
〈96〉
float32[96]
bias
〈96〉
Split
conv4_7/linear/bn_conv4_7/linear/scale_0_split
Convolution
conv5_1/expand
float32[576,96,1,1]
filter
〈576×96×1×1〉
BatchNorm
conv5_1/expand/bn
float32[576]
gamma
〈576〉
float32[576]
beta
〈576〉
float32[1]
mean
〈1〉
Scale
conv5_1/expand/scale
float32[576]
scale
〈576〉
float32[576]
bias
〈576〉
ReLU
relu5_1/expand
Convolution
conv5_1/dwise
float32[576,1,3,3]
filter
〈576×1×3×3〉
BatchNorm
conv5_1/dwise/bn
float32[576]
gamma
〈576〉
float32[576]
beta
〈576〉
float32[1]
mean
〈1〉
Scale
conv5_1/dwise/scale
float32[576]
scale
〈576〉
float32[576]
bias
〈576〉
ReLU
relu5_1/dwise
Convolution
conv5_1/linear
float32[96,576,1,1]
filter
〈96×576×1×1〉
BatchNorm
conv5_1/linear/bn
float32[96]
gamma
〈96〉
float32[96]
beta
〈96〉
float32[1]
mean
〈1〉
Scale
conv5_1/linear/scale
float32[96]
scale
〈96〉
float32[96]
bias
〈96〉
Eltwise
block_5_1
Split
block_5_1_block_5_1_0_split
Convolution
conv5_2/expand
float32[576,96,1,1]
filter
〈576×96×1×1〉
BatchNorm
conv5_2/expand/bn
float32[576]
gamma
〈576〉
float32[576]
beta
〈576〉
float32[1]
mean
〈1〉
Scale
conv5_2/expand/scale
float32[576]
scale
〈576〉
float32[576]
bias
〈576〉
ReLU
relu5_2/expand
Convolution
conv5_2/dwise
float32[576,1,3,3]
filter
〈576×1×3×3〉
BatchNorm
conv5_2/dwise/bn
float32[576]
gamma
〈576〉
float32[576]
beta
〈576〉
float32[1]
mean
〈1〉
Scale
conv5_2/dwise/scale
float32[576]
scale
〈576〉
float32[576]
bias
〈576〉
ReLU
relu5_2/dwise
Convolution
conv5_2/linear
float32[96,576,1,1]
filter
〈96×576×1×1〉
BatchNorm
conv5_2/linear/bn
float32[96]
gamma
〈96〉
float32[96]
beta
〈96〉
float32[1]
mean
〈1〉
Scale
conv5_2/linear/scale
float32[96]
scale
〈96〉
float32[96]
bias
〈96〉
Eltwise
block_5_2
Convolution
conv5_3/expand
float32[576,96,1,1]
filter
〈576×96×1×1〉
BatchNorm
conv5_3/expand/bn
float32[576]
gamma
〈576〉
float32[576]
beta
〈576〉
float32[1]
mean
〈1〉
Scale
conv5_3/expand/scale
float32[576]
scale
〈576〉
float32[576]
bias
〈576〉
ReLU
relu5_3/expand
Convolution
conv5_3/dwise
float32[576,1,3,3]
filter
〈576×1×3×3〉
BatchNorm
conv5_3/dwise/bn
float32[576]
gamma
〈576〉
float32[576]
beta
〈576〉
float32[1]
mean
〈1〉
Scale
conv5_3/dwise/scale
float32[576]
scale
〈576〉
float32[576]
bias
〈576〉
ReLU
relu5_3/dwise
Convolution
conv5_3/linear
float32[160,576,1,1]
filter
〈160×576×1×1〉
BatchNorm
conv5_3/linear/bn
float32[160]
gamma
〈160〉
float32[160]
beta
〈160〉
float32[1]
mean
〈1〉
Scale
conv5_3/linear/scale
float32[160]
scale
〈160〉
float32[160]
bias
〈160〉
Split
conv5_3/linear/bn_conv5_3/linear/scale_0_split
Convolution
conv6_1/expand
float32[960,160,1,1]
filter
〈960×160×1×1〉
BatchNorm
conv6_1/expand/bn
float32[960]
gamma
〈960〉
float32[960]
beta
〈960〉
float32[1]
mean
〈1〉
Scale
conv6_1/expand/scale
float32[960]
scale
〈960〉
float32[960]
bias
〈960〉
ReLU
relu6_1/expand
Convolution
conv6_1/dwise
float32[960,1,3,3]
filter
〈960×1×3×3〉
BatchNorm
conv6_1/dwise/bn
float32[960]
gamma
〈960〉
float32[960]
beta
〈960〉
float32[1]
mean
〈1〉
Scale
conv6_1/dwise/scale
float32[960]
scale
〈960〉
float32[960]
bias
〈960〉
ReLU
relu6_1/dwise
Convolution
conv6_1/linear
float32[160,960,1,1]
filter
〈160×960×1×1〉
BatchNorm
conv6_1/linear/bn
float32[160]
gamma
〈160〉
float32[160]
beta
〈160〉
float32[1]
mean
〈1〉
Scale
conv6_1/linear/scale
float32[160]
scale
〈160〉
float32[160]
bias
〈160〉
Eltwise
block_6_1
Split
block_6_1_block_6_1_0_split
Convolution
conv6_2/expand
float32[960,160,1,1]
filter
〈960×160×1×1〉
BatchNorm
conv6_2/expand/bn
float32[960]
gamma
〈960〉
float32[960]
beta
〈960〉
float32[1]
mean
〈1〉
Scale
conv6_2/expand/scale
float32[960]
scale
〈960〉
float32[960]
bias
〈960〉
ReLU
relu6_2/expand
Convolution
conv6_2/dwise
float32[960,1,3,3]
filter
〈960×1×3×3〉
BatchNorm
conv6_2/dwise/bn
float32[960]
gamma
〈960〉
float32[960]
beta
〈960〉
float32[1]
mean
〈1〉
Scale
conv6_2/dwise/scale
float32[960]
scale
〈960〉
float32[960]
bias
〈960〉
ReLU
relu6_2/dwise
Convolution
conv6_2/linear
float32[160,960,1,1]
filter
〈160×960×1×1〉
BatchNorm
conv6_2/linear/bn
float32[160]
gamma
〈160〉
float32[160]
beta
〈160〉
float32[1]
mean
〈1〉
Scale
conv6_2/linear/scale
float32[160]
scale
〈160〉
float32[160]
bias
〈160〉
Eltwise
block_6_2
Convolution
conv6_3/expand
float32[960,160,1,1]
filter
〈960×160×1×1〉
BatchNorm
conv6_3/expand/bn
float32[960]
gamma
〈960〉
float32[960]
beta
〈960〉
float32[1]
mean
〈1〉
Scale
conv6_3/expand/scale
float32[960]
scale
〈960〉
float32[960]
bias
〈960〉
ReLU
relu6_3/expand
Convolution
conv6_3/dwise
float32[960,1,3,3]
filter
〈960×1×3×3〉
BatchNorm
conv6_3/dwise/bn
float32[960]
gamma
〈960〉
float32[960]
beta
〈960〉
float32[1]
mean
〈1〉
Scale
conv6_3/dwise/scale
float32[960]
scale
〈960〉
float32[960]
bias
〈960〉
ReLU
relu6_3/dwise
Convolution
conv6_3/linear
float32[320,960,1,1]
filter
〈320×960×1×1〉
BatchNorm
conv6_3/linear/bn
float32[320]
gamma
〈320〉
float32[320]
beta
〈320〉
float32[1]
mean
〈1〉
Scale
conv6_3/linear/scale
float32[320]
scale
〈320〉
float32[320]
bias
〈320〉
Convolution
conv6_4
float32[1280,320,1,1]
filter
〈1280×320×1×1〉
BatchNorm
conv6_4/bn
float32[1280]
gamma
〈1280〉
float32[1280]
beta
〈1280〉
float32[1]
mean
〈1〉
Scale
conv6_4/scale
float32[1280]
scale
〈1280〉
float32[1280]
bias
〈1280〉
ReLU
relu6_4
Pooling
pool6
Convolution
fc7
float32[1000,1280,1,1]
filter
〈1000×1280×1×1〉
float32[1000]
bias
〈1000〉
×
(unnamed)
❮
Version
{version}
Copyright ©
Lutz Roeder
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