Question: A single-layer neural network has a neuron with 4 -inputs. The inputs are 4,10,5, and 25 respectively and the weights for each input are 5,

A single-layer neural network has a neuron with 4 -inputs. The inputs are 4,10,5, and 25 respectively and the weights for each input are 5, 6, 4 and -10 respectively with no bias. The activation function is a sigmoid function (1/(1+ex)). What will be the output of this neural network? Please explain
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