tf.raw_ops.Relu

Computes rectified linear: max(features, 0).

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.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/Relu