BiLSTM torch
时间: 2023-08-31 16:14:29 浏览: 53
BiLSTM是指使用Pytorch构建的一个双向长短时记忆网络(BiLSTM)。它可以用于情感分析等任务。\[1\]在Pytorch中,可以使用以下代码导入所需的库和定义数据类型:
```python
import torch
import numpy as np
import torch.nn as nn
import torch.optim as optim
import torch.utils.data as Data
dtype = torch.FloatTensor
```
BiLSTM的网络结构图如下所示,其中Backward Layer意思不是"反向传播",而是将"句子反向输入"。具体流程是,对于一个由四个词构成的句子"i like your friends",常规单向LSTM的做法是直接输入"i like your",然后预测出"friends"。而双向LSTM会同时输入"i like your"和"your like i",然后将Forward Layer和Backward Layer的输出进行连接(这样可以同时获取正向和反向的信息),最后预测出"friends"。\[3\]
#### 引用[.reference_title]
- *1* [Pytorch实战笔记(1)——BiLSTM 实现情感分析](https://blog.csdn.net/qq_35357274/article/details/128701233)[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^control,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* *3* [BiLSTM的PyTorch应用](https://blog.csdn.net/qq_37236745/article/details/107077024)[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^control,239^v3^insert_chatgpt"}} ] [.reference_item]
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