rnn循环神经网络pytorch

循环神经网络（RNN）是一种递归神经网络，它以序列数据为输入，并在序列的演进方向进行递归计算。RNN的所有节点（循环单元）通过链式连接，通过网络的内部结构捕捉序列之间的模式特征，并以序列形式输出。在PyTorch框架中，有提供了RNN的相关教学和例子，可以帮助用户理解和使用RNN。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [4.3 RNN 循环神经网络 回归 (PyTorch tutorial 神经网络 教学)](https://download.csdn.net/download/weixin_42783709/21776474)[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^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [pytorch实现RNN循环神经网络](https://blog.csdn.net/m0_71145378/article/details/126934975)[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^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]