name=string

The Maximum(x,y,opts) command computes the pairwise maximum of Tensor objects x and y.

The Minimum(x,y,opts) command computes the pairwise minimum of Tensor objects x and y.

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

$\mathrm{t1}≔\mathrm{Constant}\left(\left[\left[11.0\,18.3\right]\,\left[12.1\,20.3\right]\right]\,\mathrm{datatype}=\mathrm{float}\left[8\right]\right)$

$\mathrm{t1}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [2,\; 2]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{t2}≔\mathrm{Constant}\left(\left[\left[29.0\,-5.7\right]\,\left[15.3\,4.5\right]\right]\,\mathrm{datatype}=\mathrm{float}\left[8\right]\right)$

$\mathrm{t2}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [2,\; 2]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{Maximum}\left(\mathrm{t1}\,\mathrm{t2}\right)$

$\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [2,\; 2]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{Minimum}\left(\mathrm{t1}\,\mathrm{t2}\right)$

$\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [2,\; 2]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

The DeepLearning,Tensor,Maximum and DeepLearning,Tensor,Minimum commands were introduced in Maple 2018.

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