tf.nn.relu6

Computes Rectified Linear 6: min(max(features, 0), 6).

Compat aliases for migration

See Migration guide for more details.

tf.nn.relu6(
    features, name=None
)

Args
`features`	A `Tensor` with type `float`, `double`, `int32`, `int64`, `uint8`, `int16`, or `int8`.
`name`	A name for the operation (optional).

Returns
A `Tensor` with the same type as `features`.

Convolutional Deep Belief Networks on CIFAR-10: Krizhevsky et al., 2010 (pdf)

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Last updated 2021-08-16 UTC.

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