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

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

See the guide: Neural Network > Activation Functions

Computes Concatenated ReLU.

Concatenates a ReLU which selects only the positive part of the activation with a ReLU which selects only the negative part of the activation. Note that as a result this non-linearity doubles the depth of the activations. Source:


  • features: A Tensor with type float, double, int32, int64, uint8, int16, or int8.
  • name: A name for the operation (optional).


A Tensor with the same type as features.

Defined in tensorflow/python/ops/