How Should A Tanh Function And Its Derivative Be Written In Python?
November 24, 2022 ⚊ 1 Min read ⚊ Views 62 ⚊ TECHNOLOGYIn origin, Tanh resembles When the activation function is low, the matrix operation can be performed directly, simplifying training. The neural network is heavier because of tanh and sigmoid activation. Sometimes, we may add a negative sign to the artificial neuron Sigmoid function output. Tanh helps here. Tanh function is similar to the sigmoid function, however, its output ranges from and is centered at
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