Skip to main content
. 2019 Oct 22;19:198. doi: 10.1186/s12911-019-0913-x

Table 1.

The details of the proposed initial CNN model

Type Patch size/Stride Output Depth Params
Convolution 7 ×7/2 112 ×112×64 1 2.7K
Max pool 3 ×3/2 56 ×56×64 0
Convolution 1 ×1/1 56 ×56×64 1 0.8K
Convolution 3 ×3/1 56 ×56×192 1 112K
Max pool 3 ×3/2 28 ×28×192 0
Inception(3a) 28 ×28×256 2 159K
SEP block 1 ×1 28 ×28×256 2 32K
Inception(3b) 28 ×28×480 2 380K
SEP block 1 ×1 28 ×28×480 2 32K
Max pool 3 ×3/2 14 ×14×480 0
Inception(4a) 14 ×14×512 2 364K
SEP block 1 ×1 14 ×14×512 2 32K
Inception(4b) 14 ×14×512 2 437K
SEP block 1 ×1 14 ×14×512 2 32K
Inception(4c) 14 ×14×512 2 840K
SEP block 1 ×1 14 ×14×512 2 32K
Inception(4d) 14 ×14×528 2 580K
SEP block 1 ×1 14 ×14×528 2 32K
Inception(4e) 14 ×14×1856 2 840K
SEP block 1 ×1 14 ×14×1856 2 32K
Max pool 3 ×3/2 7 ×7×1856 0
Ave pool 7 ×7/1 1 ×1×1856 0
Linear 1 ×1×2 1 2K
Softmax 1 ×1×2 0

The output of the convolution layer and SEP block may change after the channel pruning stage in every model compression loop