vgg卷积神经网络原理图
时间: 2023-09-16 11:16:16 浏览: 62
VGG卷积神经网络的原理图如下所示: VGG模型和AlexNet在卷积神经网络的设计上有所不同,VGG使用了更小的感受野(3x3卷积核)和更多的卷积层,以增加网络的非线性表达能力和模型的深度。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [VGG16网络模型的原理与实现](https://blog.csdn.net/qq_59572329/article/details/122143301)[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^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [经典卷积神经网络-VGG原理](https://blog.csdn.net/panghuzhenbang/article/details/124431562)[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^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [VGG Network的原理和TensorFlow实现(附源码)](https://blog.csdn.net/liuqiker/article/details/130192528)[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^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
[ .reference_list ]