RRNStep: RNNStep

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

Description

Layer factory function to create a plain RNN block for use inside a recurrence. The RNN block implements one step of the recurrence and is stateless. It accepts the previous state as its first argument, and outputs its new state.

Usage

RRNStep(shape, cell_shape = NULL, activation = op_sigmoid,
  init = init_glorot_uniform(), init_bias = 0,
  enable_self_stabilization = FALSE, name = "")

Arguments

shape	- list of ints representing tensor shape
activation	(Function) - optional activation Function
init	(scalar or matrix or initializer, defaults to init_glorot_uniform()) – initial value of weights W
name	string (optional) the name of the Function instance in the network
init	(scalar or matrix or initializer, defaults to init_glorot_uniform()) – initial value of weights W_bias

joeddav/CNTK-R documentation built on May 6, 2019, 7:28 a.m.