C#,LTSM基本原理的实现代码(CPU),学习LTSM的好材料

上传者: beijinghorn | 上传时间: 2024-06-02 17:31:30 | 文件大小: 315KB | 文件类型: ZIP
长短期记忆网络(LSTM,Long Short-Term Memory)是一种时间循环神经网络,是为了解决一般的RNN(循环神经网络)存在的长期依赖问题而专门设计出来的,所有的RNN都具有一种重复神经网络模块的链式形式。在标准RNN中,这个重复的结构模块只有一个非常简单的结构,例如一个tanh层。LSTM是一种含有LSTM区块(blocks)或其他的一种类神经网络,文献或其他资料中LSTM区块可能被描述成智能网络单元,因为它可以记忆不定时间长度的数值,区块中有一个gate能够决定input是否重要到能被记住及能不能被输出output。图1底下是四个S函数单元,最左边函数依情况可能成为区块的input,右边三个会经过gate决定input是否能传入区块,左边第二个为input gate,如果这里产出近似于零,将把这里的值挡住,不会进到下一层。左边第三个是forget gate,当这产生值近似于零,将把区块里记住的值忘掉。第四个也就是最右边的input为output gate,他可以决定在区块记忆中的input是否能输出 。LSTM有很多个版本,其中一个重要的版本是GRU(Gated Re

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