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., 3.]).numpy()
array([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 .
|