Intelligent Fish Recognition Method Based on Variable-Step Size Learning Rate Optimization Strategy

Fish capture usually requires classification of fish species, and the cost of manual classifica- tion is relatively high. Recently, deep learning has been widely applied in the fishery field. Transfer learning was conducted on ResNet18, ShuffleNet, EfficientNet, MobileNetV3, and YOLOv8. Through analysis of the influence of the law of learning rate on accuracy during the network learning process, a variable-step learning rate optimization strategy was pro- posed. Experimental results indicate...