Research Article
A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification
Table 3
A comparison of model units, parameters, and training time.
| Model | Unit number input to fully connected layer | Total number of parameters in models | Training time (S) (mean ± std) | Total number of epochs (mean ± std) |
| mv2D CNN | 16,800 | 2,223,877 | 909 ± 134 | 54 ± 8 | 3D CNN | 352,800 | 45,174,181 | 1156 ± 185 | 39 ± 6 | 3D SepConv | 352,800 | 45,161,301 | 1601 ± 196 | 41 ± 5 | 1D CNN | 79,296 | 10,474,501 | 834 ± 157 | 39 ± 7 | s2D CNN | 16,800 | 2,236,837 | 565 ± 102 | 31 ± 6 | M2D CNN | 47,712 | 6,355,717 | 1074 ± 348 | 39 ± 13 |
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