tf.nn.relu

Computes rectified linear: max(features, 0).

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.nn.relu

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

See: https://en.wikipedia.org/wiki/Rectifier_(neural_networks) Example usage:

>>> tf.nn.relu([-2., 0., -0., 3.]).numpy()
array([ 0.,  0., -0.,  3.], dtype=float32)

Args
features	A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64, qint8.
name	A name for the operation (optional).

Returns
A Tensor. Has the same type as features.