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tfa.activations.snake
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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 2023-05-25 UTC.
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