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tfa.activations.snake

View source on GitHub

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.

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Last updated 2023年05月25日 UTC.