Variable - Maple Help

DeepLearning

 Variable
 create a Tensor Variable

 Calling Sequence Variable(val,opts)

Parameters

 val - list,Matrix,Vector,Array,DataFrame, or DataSeries; initial values opts - zero or more options as specified below

Options

 • datatype = one of string,truefalse,integer[4],integer[8],float[4],float[8],complex[4], or complex[8]
 The value of option datatype specifies the type of data this Tensor will hold. By default, the datatype is inferred from the initial data val.
 • name = string
 The value of option name specifies an optional name for this Tensor, to be displayed in output and when visualizing the dataflow graph.

Description

 • The Variable(val,opts) command creates a Tensor variable in the active dataflow graph with initial value given by val.
 • This function is part of the DeepLearning package, so it can be used in the short form Variable(..) only after executing the command with(DeepLearning). However, it can always be accessed through the long form of the command by using DeepLearning[Variable](..).

Examples

 > $\mathrm{with}\left(\mathrm{DeepLearning}\right):$
 > $V≔\mathrm{Variable}\left(\left[2.0\right],\mathrm{datatype}=\mathrm{float}\left[8\right]\right)$
 ${V}{≔}\left[\begin{array}{c}{\mathrm{DeepLearning Tensor}}\\ {\mathrm{Name: Variable:0}}\\ {\mathrm{Shape: undefined}}\\ {\mathrm{Data Type: float\left[8\right]}}\end{array}\right]$ (1)

Compatibility

 • The DeepLearning[Variable] command was introduced in Maple 2018.