activation_rrelu: Rrelu

In tfaddons: Interface to 'TensorFlow SIG Addons'

Description

rrelu function.

Usage

activation_rrelu(
  x,
  lower = 0.125,
  upper = 0.333333333333333,
  training = NULL,
  seed = NULL
)

Arguments

x	A 'Tensor'. Must be one of the following types: 'float16', 'float32', 'float64'.
lower	'float', lower bound for random alpha.
upper	'float', upper bound for random alpha.
training	'bool', indicating whether the 'call' is meant for training or inference.
seed	'int', this sets the operation-level seed. Returns:

Details

Computes rrelu function: 'x if x > 0 else random(lower, upper) * x' or 'x if x > 0 else x * (lower + upper) / 2' depending on whether training is enabled. See [Empirical Evaluation of Rectified Activations in Convolutional Network](https://arxiv.org/abs/1505.00853).

Value

A 'Tensor'. Has the same type as 'x'.

Computes rrelu function

'x if x > 0 else random(lower, upper) * x' or 'x if x > 0 else x * (lower + upper) / 2' depending on whether training is enabled.

tfaddons documentation built on July 2, 2020, 2:12 a.m.