conv和conv2d

Conv和conv2d都是用于进行卷积操作的函数或类。Conv2d是PyTorch中的一个类，用于创建卷积层。它的参数包括输入图像、卷积核、步长等，并将这些参数传递给前向通道来执行卷积操作。而conv是一个函数，通常指的是在Keras中使用的Conv1D或Conv2D函数，用于创建卷积层。它的参数包括输入图像、卷积核、步长等，并通过这些参数执行卷积操作。两者的用法和参数传递方式略有不同，因此需要注意使用时的正确写法。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [基于Keras中Conv1D和Conv2D的区别说明](https://download.csdn.net/download/weixin_38644780/12850596)[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: 33.333333333333336%"]
- *2* [pytorch报错整理（1）：搭建卷积层时，误用Conv2d和conv2d而引发的错误](https://blog.csdn.net/qq_37382769/article/details/123367097)[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: 33.333333333333336%"]
- *3* [Pytorch——Conv2d、conv2d](https://blog.csdn.net/talkAC/article/details/121931058)[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: 33.333333333333336%"]
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