activation_lisht: Lisht

Description Usage Arguments Details Value Examples

View source: R/activations.R

Description

LiSHT: Non-Parameteric Linearly Scaled Hyperbolic Tangent Activation Function.

Usage

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Arguments

x

A 'Tensor'. Must be one of the following types: 'float16', 'float32', 'float64'.

Details

Computes linearly scaled hyperbolic tangent (LiSHT): 'x * tanh(x)' See [LiSHT: Non-Parameteric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks](https://arxiv.org/abs/1901.05894).

Value

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

Examples

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## 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_lisht)

## End(Not run)

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