Research Article
[Retracted] Research on Network Layer Recursive Reduction Model Compression for Image Recognition
Initialization: learning rate , number of residual units , number of residual units removed at one time is , number of retraining iterations is . | (l) | ResNet’s parameters and weights are initialized. | (2) | Set the initial learning rate to train ResNet. | (3) | | (4) | while do | (5) | | (6) | Select in ascending order of the absolute value of and add that index to | (7) | Delete of from equation (2) | (8) | | (9) | Retraining in SGD with initial learning rate for iterations | (10) | End |
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