LSTM的python实现
时间: 2023-10-24 15:04:02 浏览: 35
LSTM的Python实现可以使用Keras库来完成。Keras是一个高级神经网络API,它可以在TensorFlow等后端中运行。在Python中,通过引入Keras库,并按照以下步骤实现LSTM模型。
1. 首先,导入所需的库和模块,例如NumPy、Keras和Matplotlib。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [LSTM模型分析及对时序数据预测的具体实现(python实现)](https://blog.csdn.net/u010665216/article/details/78140106)[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: 50%"]
- *3* [15.时间序列预测(LSTM模型)python代码实现](https://download.csdn.net/download/weixin_43471818/11166952)[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: 50%"]
[ .reference_list ]