这道题目的三个选项可以详细解释一下吗

问题如下：

Regarding neural networks (NNs) that Alef might potentially implement, which of the following statements is least accurate?

选项：

NNs must have at least 10 hidden layers to be considered deep learning nets.

The activation function in a node operates like a light dimmer switch since it decreases or increases the strength of the total net input.

The summation operator receives input values, multiplies each by a weight, sums up the weighted values into the total net input, and passes it to the activation function.

解释：

A is correct. It is the least accurate answer because neural networks with many hidden layers—at least 3, but often more than 20 hidden layers—are known as
deep learning nets.
B is incorrect, because the node’s activation function operates like a light dimmer switch which decreases or increases the strength of the (total net) input.
C is incorrect, because the node’s summation operator multiplies each (input) value by a weight and sums up the weighted values to form the total net input. The total net input is then passed to the activation function.