resnet152流程图

抱歉，我无法提供图片或流程图。但是，ResNet-152的网络结构可以通过引用\[1\]中提供的信息来理解。ResNet-152是一种深度卷积神经网络模型，它采用了残差结构，使得深度模型的训练更加容易。它的参数量达到了60MB，相对较大。ResNet-152的网络结构图可以在引用\[1\]中找到。
#### 引用[.reference_title]
- *1* *3* [一文详解R-CNN、Fast R-CNN、Faster](https://blog.csdn.net/hallobike/article/details/116352963)[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^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [ResNet（残差）网络](https://blog.csdn.net/weixin_50988214/article/details/109494509)[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^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
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