Tensor rank: Difference between revisions

2,894 bytes added ,  21 March 2023
Created page with "{{see also|Machine learning terms}} ==Definition of Tensor Rank== In the field of machine learning, tensors are multi-dimensional arrays that provide a mathematical framework to represent and manipulate data. The rank of a tensor, also known as its ''order'', refers to the number of dimensions or indices required to describe the tensor. Formally, the tensor rank is defined as the number of axes within a tensor. In other words, the tensor rank determines the complexit..."
(Created page with "{{see also|Machine learning terms}} ==Definition of Tensor Rank== In the field of machine learning, tensors are multi-dimensional arrays that provide a mathematical framework to represent and manipulate data. The rank of a tensor, also known as its ''order'', refers to the number of dimensions or indices required to describe the tensor. Formally, the tensor rank is defined as the number of axes within a tensor. In other words, the tensor rank determines the complexit...")
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