name=string

The CrossProduct(x,y,opts) command computes the cross product of two Tensor objects.

The DotProduct(x,y,opts) command computes the dot product of two Tensor objects.

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

$\mathrm{v1}≔\mathrm{Constant}\left(⟨-35.0\,65.0\,41.0⟩\right)$

$\mathrm{v1}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [3]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{v2}≔\mathrm{Constant}\left(⟨-14.0\,45.0\,24.0⟩\right)$

$\mathrm{v2}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [3]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{CrossProduct}\left(\mathrm{v1}\,\mathrm{v2}\right)$

$\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [3]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{m1}≔\mathrm{Constant}\left(⟨⟨-92.1\,-31.3\,67.3⟩⟩\right)$

$\mathrm{m1}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [3,\; 1]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{m2}≔\mathrm{Constant}\left(⟨⟨99.7\left|29.0\right|44.5⟩⟩\right)$

$\mathrm{m2}≔\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [1,\; 3]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

$\mathrm{DotProduct}\left(\mathrm{m1}\,\mathrm{m2}\right)$

$\left[\begin{array}{c}\mathrm{DeepLearning\; Tensor}\\ \mathrm{Shape:\; [3,\; 3]}\\ \mathrm{Data\; Type:\; float[8]}\end{array}\right]$

The DeepLearning/Tensor/CrossProduct and DeepLearning/Tensor/DotProduct commands were introduced in Maple 2018.

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