Computes rectified linear: max(features, 0).
tf.raw_ops.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.
|