lstm细胞是神经元还是整个网络?

更新:我不知道为什么要对此表示不满,非常感谢有人让我知道原因。谢谢

Now I have been looking RNN's for a while. And the vanilla version seems pretty obvious to me, a model trains by running each word in a sequence through the network one at a time. Here in the rolled and unrolled version: enter image description here

很简单,一个词遍及整个网络,然后遍历下一个。

Now i went on to look at lstm networks, where this model is used for a LSTM "cell" enter image description here

The way it is decribed to me in many articles and videos, this cell is a model of what it looks like inside of a single neuron of the lstm network. This makes sense to me. However, I then find a model like this: enter image description here

在这里,似乎序列的每个元素都经过单个神经元,然后继续前进到下一个元素,这对我完全没有意义。 LSTM的意思是

1:整个网络的模型

2:一个单一神经元的模型,由于某种原因,一个单词/序列元素只需要在训练时通过一个神经元即可。

  1. 我完全误解了培训的工作方式
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