Neural networks · Question 52 of 60
Two otherwise identical networks differ only in their activation function. What follows from this?
1 answer is correct. Hard
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Answer
- C They calculate different activation values for the same inputs
Explanation
The activation function is a non-linear formula through which a neuron's weighted sum plus bias is passed. Different activation functions yield different activation values. The number of weights, by contrast, depends on the structure of the network.