Artificial neural network, why mostly sigmoid?
Why is the sigmoid threshold function mostly used in nodes? According to the biological model, the all or nothing principle would suggest that the step function should be preferred, wouldn't it?
Why is the sigmoid threshold function mostly used in nodes? According to the biological model, the all or nothing principle would suggest that the step function should be preferred, wouldn't it?