RNN 训练算法 —— 反向传播(Backpropagation Through Time) 参见基本框架:https://goodgoodstudy.blog.csdn.net/article/details/109245095 问题描述 考虑模型循环网络模型: x ( k ) = f [ W x ( k − 1 ) ] (1) x(k) = f[Wx(k-1)] \tag1{} x(k)=f[Wx(k−1)](1) 其中 x ( k )...
这也是标准RNN难以训练的原因:序列(句子)可能很长,可能是20个字或更多,因此需要反向传播多个层。在实践中,许多人将时间步进行截断来控制传播层数。 BPTT实现的代码如下: defbptt(self, x, y): T=len(y)#Perform forward propagationo, s =self.forward_propagation(x)#We accumulate the gradients in these v...
BackPropagation Through Time for RNN.Ma, XiaoleiYu, HaiyangWang, YunpengWang, Yinhai
在原先的Jeff Elman (Elman, 1990)的实验中使用了所谓的截断反向传播(truncated backpropagation)。主要思想就是y_j(t - 1)被简单地看作一个输入。状态层的任何误差 epsilon_j 被用来更新这个额外的输入槽(见图4)。 误差可以反向传播更远。这被称作backpropagation through time (BPTT; (Rumelhart et al., 19...
基于时间的反向传播算法BPTT(BackPropagationTrough Time) 将RNN展开之后,,前向传播(ForwardPropagation)就是依次按照时间的顺序计算一次就好了,反向传播(BackPropagation)就是从最后一个时间将累积的残差传递回来即可,这与普通的神经网络训练本质上是相似的。 RNN的BPTT公式推导 参考文献:1、A guide to ...
Backpropagation Through Time (BPTT) 梯度消失与梯度爆炸 下面的图显示的是RNN的结果以及数据前向流动方向 假设有 \[\begin{split} h_t &= \tanh W\begin{pmatrix}x_t \\ h_{t-1}\end{pmatrix}\\ y_t &= F(h_t)\\ C_t &= L(y_t, \hat{y}_t) \end{split} \] ...
back-propagation through time算法是常用的训练RNN的方法,其实本质还是() A. 前向算法 B. BP算法 C. 回归算法 D. LSTM算法 题目标签:方法训练算法如何将EXCEL生成题库手机刷题 如何制作自己的在线小题库 > 手机使用 分享 反馈 收藏 举报 参考答案: B 复制 纠错...
Backpropagation Through Time (BPTT) of LSTMAsk Question Asked 7 years, 10 months ago Modified 7 years, 10 months ago Viewed 3k times 1 I am currently trying to understand the BPTT for LSTM in TensorFlow. I get that the parameter "num_steps" is used for the range that the RNN is rol...
Define Back propagation. Back propagation synonyms, Back propagation pronunciation, Back propagation translation, English dictionary definition of Back propagation. n. A common method of training a neural net in which the initial system output is compare
Open fulacseopened this issueJan 6, 2024· 1 comment Open opened this issueJan 6, 2024· 1 comment fulacsecommentedJan 6, 2024 Theohhhuself-assigned thisJan 18, 2024 Theohhhuadded thehelp wantedExtra attention is neededlabelJan 18, 2024 ...