tf.nn.relu

Computes rectified linear: max(features, 0).

tf.nn.relu(
    features: _atypes.TensorFuzzingAnnotation[TV_Relu_T], name=None
) -> _atypes.TensorFuzzingAnnotation[TV_Relu_T]

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

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

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).

A Tensor. Has the same type as features.