Comments (2)
你好,pytorch里LSTM之类的RNN模块输出的一般是所有时间序列的值,不单单是最后一步,而我们只需要最后一个时间步的输出,输出的第二个维度就是时间序列,-1就是取了最后一步,不然就是考虑了所有的时间步了,我们这个任务是多对一的关系,也就是说只有最后一步的输出用来预测。所以实际上-1之后输出变成了(batchsize,feature_out),这是没问题的
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你好,pytorch里LSTM之类的RNN模块输出的一般是所有时间序列的值,不单单是最后一步,而我们只需要最后一个时间步的输出,输出的第二个维度就是时间序列,-1就是取了最后一步,不然就是考虑了所有的时间步了,我们这个任务是多对一的关系,也就是说只有最后一步的输出用来预测。所以实际上-1之后输出变成了(batchsize,feature_out),这是没问题的
是的,got it,是我之前想错了,这里是对一个句子的序列进行分类谢谢回复哦
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