Leaky relu activation function.

Leaky relu activation function.

Usage

activation_leaky_relu(x, negative_slope = 0.2)

Arguments

x

Input tensor.

negative_slope

A float that controls the slope for values lower than the threshold.

Value

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

See also

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

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