Hyperbolic tangent activation function.

It is defined as: tanh(x) = sinh(x) / cosh(x), i.e. tanh(x) = ((exp(x) - exp(-x)) / (exp(x) + exp(-x))).

Usage

activation_tanh(x)

Arguments

x

Input tensor.

Value

A tensor, the result from applying the activation to the input tensor x.

See also

• https://keras.io/api/layers/activations#tanh-function

Other activations:
activation_elu()
activation_exponential()
activation_gelu()
activation_hard_sigmoid()
activation_leaky_relu()
activation_linear()
activation_log_softmax()
activation_mish()
activation_relu()
activation_relu6()
activation_selu()
activation_sigmoid()
activation_silu()
activation_softmax()
activation_softplus()
activation_softsign()