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Table 1 The summary of the parameterization of used architectures — C–D–GEX, CR–D–GEX, T–D–GEX, and TR–D–GEX do not differ in number of parameters and neurons. Note that the total number of parameter remains approximately the same across architectures

From: On tower and checkerboard neural network architectures for gene expression inference

Towers

Neurons/tower

Neurons

Parameters

1

10,000

34,759

257,149,036

2

7,227

48,121

257,119,561

3

5,941

58,228

257,068,283

4

5,157

66,643

256,997,503

5

4,615

73,984

256,977,621

6

4,211

80,557

256,953,201

8

3,637

92,047

256,729,407

10

3,242

102,019

256,587,674

12

2,948

110,887

256,374,168