tf.nn.elu | TensorFlow v2.16.1 (original) (raw)
tf.nn.elu
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Computes the exponential linear function.
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Compat aliases for migration
SeeMigration guide for more details.
tf.nn.elu(
features: Annotated[Any, TV_Elu_T], name=None
) -> Annotated[Any, TV_Elu_T]
The ELU function is defined as:
- \( e ^ x - 1 \) if \( x < 0 \)
- \( x \) if \( x >= 0 \)
Examples:
tf.nn.elu(1.0)
<tf.Tensor: shape=(), dtype=float32, numpy=1.0>
tf.nn.elu(0.0)
<tf.Tensor: shape=(), dtype=float32, numpy=0.0>
tf.nn.elu(-1000.0)
<tf.Tensor: shape=(), dtype=float32, numpy=-1.0>
See Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
| Args | |
|---|---|
| features | A Tensor. Must be one of the following types: half, bfloat16, float32, float64. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor. Has the same type as features. |
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Last updated 2024-04-26 UTC.