Research Article
The Motor Action Analysis Based on Deep Learning
Table 3
BN-inception network parameter settings.
| type | Depth | #1 × 1 | #1 × 1 reduce | #3 × 3 | #3 × 3 reduce | Double #3 × 3 | Pool + proj |
| Convolution | 1 | | | | | | | Max pool | 0 | | | | | | | Convolution | 1 | 64 | 192 | | | | | Max pool | 0 | | | | | | | Inception (3a) | 3 | 64 | 64 | 64 | 64 | 96 | Avg + 32 | Inception (3b) | 3 | 64 | 64 | 96 | 64 | 96 | Avg + 64 | Inception (3c) | 3 | 0 | 128 | 160 | 64 | 96 | Max + pass | Inception (4a) | 3 | 224 | 64 | 96 | 96 | 128 | Avg + 128 | Inception (4b) | 3 | 192 | 96 | 128 | 96 | 128 | Avg + 128 | Inception (4c) | 3 | 160 | 128 | 160 | 128 | 160 | Avg + 128 | Inception (4d) | 3 | 96 | 128 | 192 | 160 | 192 | Avg + 128 | Inception (4e) | 3 | 0 | 128 | 192 | 192 | 256 | Max + pass | Inception (5a) | 3 | 352 | 192 | 320 | 160 | 224 | Avg + 128 | Inception (5b) | 3 | 352 | 192 | 320 | 192 | 224 | Max + 128 | Avg pool | 0 | | | | | | |
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