Analyzing The activation functions of common neural networks
It is important to choose function activation for hidden and output layers that are differentiable when constructing Artificial Neural Networks (ANN). As a result, to calculate the backpropagated error signal necessary to determine ANN parameter updates, it is necessary to know the gradient of the activation function gradient. Identity functions, logist…