Research Article
[Retracted] Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions
| A | A-LRN | B | C | D | E |
| 11 weight layers | 11 weight | 13 weight | 16 weight | 16 weight | 19 weight layers | Layers | Layers | Layers | Layers | Input (224 × 224 RGB image) | conv3-64 | conv3-64 | conv3-64 | conv3-64 | conv3-64 | conv3-64 | LRN | conv3-64 | conv3-64 | conv3-64 | conv3-64 | Max pool | conv3-128 | conv3-128 | conv3-128 | conv3-128 | conv3-128 | conv3-128 | conv3-128 | conv3-128 | conv3-128 | conv3-128 | Max pool | conv3-256 | conv3-256 | conv3-256 | conv3-256 | conv3-256 | conv3-256 | conv3-256 | conv3-256 | conv3-256 | conv3-256 | conv3-256 | conv3-256 | | | | Convl-256 | conv3-256 | conv3-256 | | | | | | conv3-256 | Max pool | conv3-512conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | | | Convl-512 | conv3-512 | conv3-512 | | | | | conv3-512 | Max pool | conv3-512conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | conv3-512 | | | Convl-512 | conv3-512 | conv3-512 | | | | | conv3-512 | Max pool | FC-4096 | FC-4096 | FC-1000 | SoftMax |
|
|