Table 5 Architecture of the network.

From: Construction of a system using a deep learning algorithm to count cell numbers in nanoliter wells for viable single-cell experiments

Layer description

No of nodes

No of Weights

Input

511 × 511

 

Local respose normalization 1

511 × 511

 

Max pooling 1

256 × 256

 

Convolution 1

32 × 256 × 256

5 × 5 × 1 × 32

Convolution 2

32 × 256 × 256

5 × 5 × 32 × 32

Max pooling 2

32 × 128 × 128

 

Local respose normalization 2

32 × 128 × 128

 

Convolution 3

64 × 64 × 64

5 × 5 × 32 × 64

Convolution 4

64 × 64 × 64

5 × 5 × 64 × 64

Convolution 5

64 × 64 × 64

5 × 5 × 64 × 64

Max pooling 3

64 × 32 × 32

 

Local respose normalization 3

64 × 32 × 32

 

Convolution 6

32 × 16 × 16

5 × 5 × 64 × 32

Convolution 7

32 × 16 × 16

5 × 5 × 32 × 32

Convolution 8

32 × 16 × 16

5 × 5 × 32 × 32

Max pooling 4

32 × 8 × 8

 

Local respose normalization 4

32 × 8 × 8

 

Totally connected 1

32

32 × 32 × 8 × 8

Totally connected 2

512

512 × 32

Output

4

4 × 512

Total

 

468,768