Rank (Tensor): Revision history

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21 March 2023

  • curprev 01:1201:12, 21 March 2023‎ Walle talk contribs‎ 3,596 bytes +3,596‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, the term "rank" is commonly used in the context of tensor algebra. A tensor is a mathematical object that is a generalization of scalars, vectors, and matrices, and is used to represent complex data structures in various machine learning algorithms. The rank of a tensor refers to the number of dimensions or indices required to represent the tensor. ==Tensor Basics== ===Scalars, Vectors, and Matric..."
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