Higher order derivative by 'dlgradient'

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jaehong kim 2021-2-16

关闭： Walter Roberson 2021-2-18

I am currently coding custom deep learning, but the process stopped at the higher derivative.

I am curious about how to make a higher derivative through dlgradient.

Alternatively, you are welcome to suggest a way to do higher derivatives in matlab.

For example, how to get ddydxx in the following example.

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Code

clc,clear,close all

x=3;

x0=dlarray(x);

[fval,gradval,ggradval] = dlfeval(@Myfunc,x0);

function [fval,gradval,ggradval] = Myfunc(x)

y = 100*(3*x - 7*x.^2).^2;

dydx=dlgradient(y,x,'RetainData',true);

ddydxx=dlgradient(dydx,x);

end

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Error

Error using dlfeval (line 43)

Value to differentiate must be a traced dlarray scalar.

Error in gradtest (line 7)

[fval,gradval,dd] = dlfeval(@Myfunc,x0,y);

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Thanks for reading my question.

Walter Roberson 2021-2-16

jaehong kim 2021-2-16

i am sorry...

I just posted to update the question. Sorry for violating the community rules. I'll be careful.

此问题已关闭。

此问题已关闭。

R2020b

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