activation_hardshrink: Hardshrink

In tfaddons: Interface to 'TensorFlow SIG Addons'

Description

Hard shrink function.

Usage

activation_hardshrink(x, lower = -0.5, upper = 0.5)

Arguments

x	A 'Tensor'. Must be one of the following types: 'float16', 'float32', 'float64'.
lower	'float', lower bound for setting values to zeros.
upper	'float', upper bound for setting values to zeros. Returns: A 'Tensor'. Has the same type as 'x'.

Details

Computes hard shrink function: 'x if x < lower or x > upper else 0'.

Value

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

Computes hard shrink function

'x if x < lower or x > upper else 0'.

Examples

## Not run: 
library(keras)
library(tfaddons)
model = keras_model_sequential() %>%
layer_conv_2d(filters = 10, kernel_size = c(3,3),input_shape = c(28,28,1),
              activation = activation_hardshrink)

## End(Not run)

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