axis=list(integer) or integer

datatype=integer[4] or integer[8]

name=string

The argmax(t) command returns the index with the largest value across the axes of a Tensor.

The argmin(t) command behaves similarly but returns the index with the smallest value across the axes of a Tensor.

The index returns by argmax and argmin is zero-based.

$\mathrm{with}\left(\mathrm{DeepLearning}\right)\:$

$t≔\mathrm{Constant}\left(\left[0\,7\,2\,9\,3\,6\,8\right]\right)\:$

$\mathrm{argmax}\left(t\,\mathrm{axis}=0\right)$

$\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Name:\; none}\\ \mathrm{Shape:\; []}\\ \mathrm{Data\; Type:\; integer[8]}\end{array}\right]$

$\mathrm{argmin}\left(t\,\mathrm{axis}=0\right)$

$\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Name:\; none}\\ \mathrm{Shape:\; []}\\ \mathrm{Data\; Type:\; integer[8]}\end{array}\right]$

The DeepLearning,Tensor,argmax and DeepLearning,Tensor,argmin commands were introduced in Maple 2018.

For more information on Maple 2018 changes, see Updates in Maple 2018.