tf.nn.dilation2d

Computes exponential linear: exp(features) - 1 if < 0, features otherwise.

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Compat aliases for migration

tf.compat.v1.nn.elu

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

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`.

TensorFlow

tf.nn / dilation2d

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Args

Returns

TensorFlow

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tf.nn / dilation2d

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Args

Returns