NO.PZ2015120204000038
问题如下：
Regarding neural networks (NNs) , which of the following statements is least accurate?
选项：
A. NNs must have at least 10 hidden layers to be considered deep learning nets.
B. The activation function in a node operates like a light dimmer switch since it decreases or increases the strength of the total net input.
C.
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.
