Research Article
[Retracted] Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions
Table 2
Network structure parameter.
| | Type | Convolution kernel size/Step size | Number of convolution kernels | Output |
| | Input | — | — | 4484483 | | Conv1 | 33/2 | 128 | 224224128 | | Pool1 | 22/2 | — | 112112128 | | Conv2 | 33/1 | 256 | 112112256 | | Pool2 | 33/1 | — | 5656256 | | Conv3 | 33/1 | 256 | 5656256 | | Pool3 | 33/2 | — | 2828256 | | Conv4 | 11/1 | 128 | 2828128 | | Conv5 | 33/1 | 128 | 2828128 | | Pool4 | 33/2 | — | 1414128 | | Inception1 | — | 64/64, 96/16, 32/32 | 1414224 | | Pool5 | 33/2 | — | 77224 | | Inception2 | — | 64/64, 96/16, 32/32 | 77224 | | Pool6 | 33/2 | — | 44224 | | Inception3 | — | 64/64, 96/16, 32/32 | 44224 | | Pool7 | 22/1 | — | 22224 | | Inception4 | — | 64/64, 96/16, 32/32 | 22224 | | Pool8 | 22/1 | — | 11224 | | Output | 11/1 | — | 1164 |
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