Activation: Activation Layer

In Microsoft/CNTK-R: R Interface to the Microsoft Cognitive Toolkit (CNTK)

Description

Layer factory function to create an activation layer. Activation functions can be used directly in CNTK, so there is no difference between y = relu(x) and y = Activation(relu)(x). This layer is useful if one wants to configure the activation function with default <- options, or when its invocation should be named.

Usage

Activation(activation = activation_identity, name = "")

Arguments

activation	(Function) - optional activation Function (defaults to activation_identity) – function to apply at the end, e.g. op_relu
name	string (optional) the name of the Function instance in the network the network

Value

A function that accepts one argument and applies the operation to it

Examples

(model <- Dense(500) %>% Activation(op_relu)())
# is the same as
(model <- Dense(500) %>% op_relu)
# and also the same as
(model <- Dense(500, activation=op_relu))

Microsoft/CNTK-R documentation built on May 28, 2019, 1:52 p.m.