tf.nn.relu6

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

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.nn.relu6, `tf.compat.v2.nn.relu6`

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

Source: Convolutional Deep Belief Networks on CIFAR-10. A. Krizhevsky

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.