怎么可视化dlgradient？

dy = dlgradient(sum(y,"all"),dlX,EnableHigherDerivatives=true);

怎么可视化上述代码

Answer 1

[Ninad]

Hello,

As per my understanding, the line of code mentioned above will calculate the gradient of the sum of elements in the array `y` with respect to the input `dlX`.

Thus, the variable `dy` will have the same dimension as the input `dlX`.

You may use the `quiver` function to plot the gradients calculated using the `dlgradient` function.

The `quiver (X, Y, U, V) ` function in MATLAB plots arrows with directional components U and V at the Cartesian coordinates specified by X and Y. Each arrow represents a vector starting from the corresponding point (X, Y) and extending horizontally by U and vertically by V. By default, the function scales the arrow lengths to prevent overlapping.

Rosenbrock’s function is a standard test function for optimization. You may use it for demonstration purpose and enabled the higher derivative option. Then, compute the gradient using automatic differentiation, before plotting it using the `quiver` function.

You may find the code in the attached live script file (.mlx file), for your reference.

References:

https://in.mathworks.com/help/matlab/ref/quiver.html

https://in.mathworks.com/help/deeplearning/ref/dlarray.dlgradient.html

Hope this helps.