tf.nn.relu6

TensorFlow 2 version View source on GitHub

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

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

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

A Tensor with the same type as features.