tfa.activations.snake

Snake activation to learn periodic functions.

tfa.activations.snake(
    x: tfa.types.TensorLike,
    frequency: tfa.types.Number = 1
) -> tf.Tensor

Computes snake activation:

\[ \mathrm{snake}(x) = \mathrm{x} + \frac{1 - \cos(2 \cdot \mathrm{frequency} \cdot x)}{2 \cdot \mathrm{frequency} }. \]

See Neural Networks Fail to Learn Periodic Functions and How to Fix It.

Usage:

x = tf.constant([-1.0, 0.0, 1.0])
tfa.activations.snake(x)
<tf.Tensor: shape=(3,), dtype=float32, numpy=array([-0.29192656,  0.        ,  1.7080734 ], dtype=float32)>

Args
x	A Tensor.
frequency	A scalar, frequency of the periodic part.

Returns
A Tensor. Has the same type as x.