tanh activation functions

Tanh activation function The activation function determines the range of possible activation levels for a synthetic neuron. The total weighted input data to the neuron is used for this operation. can be identified by their non-linearity. Without an activation function, multilayer perceptrons simply multiply the weights by the input values to calculate the outputs. Any two linear operations performed in succession are identical to only one. With a non-linear activation function, the artificial neural network and its approximation function are non-linear. The approximation theorem states that any multilayer perceptron with a single hidden layer and a nonlinear activation function is…