tf.keras.activations.gelu

Gaussian error linear unit (GELU) activation function.

tf.keras.activations.gelu(
    x, approximate=False
)

The Gaussian error linear unit (GELU) is defined as:

gelu(x) = x * P(X <= x) where P(X) ~ N(0, 1), i.e. gelu(x) = 0.5 * x * (1 + erf(x / sqrt(2))).

GELU weights inputs by their value, rather than gating inputs by their sign as in ReLU.

Reference:

• Hendrycks et al., 2016