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案例中,样本维度为1,序列长度为TIME_STEP(batch_size从网络结构来看似乎是默认为1),同一个序列中不同样本之间存在关联,但是同一个batch中的不同序列之间以及不同batch之间是不存在关联的,所以此处RNN网络结构的前向传播函数中,不需要加加入上一个batch的隐藏状态。 如果按案例中所写,训练过程中表现确实会越来越好,但是放到训练过程之外,使用独立的样本测试的时候效果似乎不太理想
The text was updated successfully, but these errors were encountered:
他代码写的切断连接,但是实际上是传入了上一个epoch的隐藏状态.
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案例中,样本维度为1,序列长度为TIME_STEP(batch_size从网络结构来看似乎是默认为1),同一个序列中不同样本之间存在关联,但是同一个batch中的不同序列之间以及不同batch之间是不存在关联的,所以此处RNN网络结构的前向传播函数中,不需要加加入上一个batch的隐藏状态。
如果按案例中所写,训练过程中表现确实会越来越好,但是放到训练过程之外,使用独立的样本测试的时候效果似乎不太理想
The text was updated successfully, but these errors were encountered: