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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