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2 changes: 1 addition & 1 deletion chapter_recurrent-neural-networks/bptt.md
Original file line number Diff line number Diff line change
Expand Up @@ -156,7 +156,7 @@ $$z_t= \frac{\partial f(x_{t},h_{t-1},w_h)}{\partial w_h} +\xi_t \frac{\partial
当基于循环神经网络使用通过时间反向传播
分析《时间机器》书中前几个字符的三种策略:

* 第一行采用随机截断,方法是将文本划分为不同长度的片断
* 第一行采用随机截断,方法是将文本划分为不同长度的片段
* 第二行采用常规截断,方法是将文本分解为相同长度的子序列。
这也是我们在循环神经网络实验中一直在做的;
* 第三行采用通过时间的完全反向传播,结果是产生了在计算上不可行的表达式。
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