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LiSHT: Non-Parameteric Linearly Scaled Hyperbolic Tangent Activation Function.
tfa.activations.lisht(
x: tfa.types.TensorLike
) -> tf.Tensor
Computes linearly scaled hyperbolic tangent (LiSHT):
\[ \mathrm{lisht}(x) = x * \tanh(x). \]
See LiSHT: Non-Parameteric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks.
Usage:
x = tf.constant([1.0, 0.0, 1.0])tfa.activations.lisht(x)<tf.Tensor: shape=(3,), dtype=float32, numpy=array([0.7615942, 0. , 0.7615942], dtype=float32)>
Args | |
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x
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A Tensor. Must be one of the following types:
bfloat16, float16, float32, float64.
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Returns | |
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A Tensor. Has the same type as x.
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