input argument order in deep learning functions

조회 수: 1 (최근 30일)
feynman feynman
feynman feynman 2022년 12월 3일
댓글: feynman feynman 2022년 12월 3일
For those that have many input arguments, does the order of the input arguments affect the result of the function. For example, is
[___] = adamupdate(___learnRate,gradDecay,sqGradDecay,epsilon)
different from
[___] = adamupdate(___gradDecay,sqGradDecay,epsilon,learnRate)
and if so, does matlab support inputting arguments like the following?
[___] = adamupdate(___learnRate=0.1,gradDecay=0,sqGradDecay=0,epsilon=1)

채택된 답변

Stephen23
Stephen23 2022년 12월 3일
편집: Stephen23 2022년 12월 3일
"For those that have many input arguments, does the order of the input arguments affect the result of the function."
In general, yes, the input order is significant.
"... is ... different from... "
Yes. In general MATLAB input arguments are positional, so their position determines the meaning of that input (not the variable name or anything else).
"...does matlab support inputting arguments like the following"
Yes, but only for particular arguments that are known in the documentation as "name-value" arguments. For example, the CELLFUN documentation lists exactly two name-value arguments (in addition to the positional input arguments):
The syntax that you show using name-value is supported only since 2021a:
The ADAMUPDATE documentation does not list any name-value input arguments.
  댓글 수: 5
Walter Roberson
Walter Roberson 2022년 12월 3일
The summary syntax would literally include
Name, Value
if a call supports name/value pairs
feynman feynman
feynman feynman 2022년 12월 3일
thank you walter!

댓글을 달려면 로그인하십시오.

추가 답변 (0개)

카테고리

Help CenterFile Exchange에서 Get Started with MATLAB에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by