yolov8 classify改进的地方

YOLOv8在分类方面的改进主要涉及到C2f模块的引入，这个模块参考了C3模块以及ELAN的思想进行设计。C2f模块的作用是在保证轻量化的同时获得更加丰富的梯度流信息。通过引入C2f模块，YOLOv8在分类任务中可以获得更好的性能和准确度。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [YOLOv8的改进](https://blog.csdn.net/qq_33319476/article/details/128657138)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [（17）目标检测算法之 YOLOv8 算法改进详细解析](https://blog.csdn.net/yohnyang/article/details/128772295)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]