Hidden state和cell state在网络中传输了什么? 先从感性来说,lstm中,h (0~n)和c (0~n)都是记录之前状态的变量,会随着新的输入x (t)而改变。 但是h和c的侧重点不同。 h (t)和rnn中的h (t)类似(不. (2)hidden state。 hidden state是cell state经过一个神经元和一道“输出门”后得到的,因此hidden state里包含的记忆,实际上是cell state衰减之. 使用vae提取的hidden vector来做classification效果如何? 和传统基于cnn或者rnn提取feature的做法相比,两者有何优劣,如何权衡呢? 希望大佬不吝评论~ 显示全部 关注者 87
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