tf.nn.elu

Computes the exponential linear function.

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Compat aliases for migration

tf.compat.v1.nn.elu

tf.nn.elu(
    features, name=None
)

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 2021-05-14 UTC.

tf.nn.elu

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Examples:

Args

Returns