torch.conv1d
时间: 2023-09-25 15:15:09 浏览: 42
torch.conv1d是一个函数,它是torch.nn.functional模块中的一个方法。这个函数用于执行一维卷积操作。卷积操作是深度学习中常用的一种操作,通过对输入数据和卷积核进行运算,可以提取输入数据的特征。torch.conv1d函数的参数包括输入数据、卷积核、步幅、填充等。它返回的是卷积操作的结果。在使用torch.conv1d之前,通常需要先对卷积核的权重和偏置进行初始化。可以使用torch.nn.init.constant_函数将卷积核的权重初始化为全1,将偏置初始化为0。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [【Pytorch深度学习笔记 10】基本的卷积操作conv1d](https://blog.csdn.net/i13270752870/article/details/121417435)[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_1"}}] [.reference_item style="max-width: 50%"]
- *2* [torch.nn.Conv1d计算过程简易图解](https://blog.csdn.net/weixin_42410798/article/details/124451826)[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_1"}}] [.reference_item style="max-width: 50%"]
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