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  2. Tensor (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Tensor_(machine_learning)

    In machine learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation. Data may be organized in a multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector ...

  3. Tensor software - Wikipedia

    en.wikipedia.org/wiki/Tensor_software

    Xerus [52] is a C++ tensor algebra library for tensors of arbitrary dimensions and tensor decomposition into general tensor networks (focusing on matrix product states). It offers Einstein notation like syntax and optimizes the contraction order of any network of tensors at runtime so that dimensions need not be fixed at compile-time.

  4. Multilinear principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Multilinear_principal...

    Multilinear principal component analysis (MPCA) is a multilinear extension of principal component analysis (PCA) that is used to analyze M-way arrays, also informally referred to as "data tensors". M-way arrays may be modeled by linear tensor models, such as CANDECOMP/Parafac, or by multilinear tensor models, such as multilinear principal ...

  5. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    Numpy NDarrays, the library's native datatype, are automatically converted to TensorFlow Tensors in TF operations; the same is also true vice versa. [66] This allows for the two libraries to work in unison without requiring the user to write explicit data conversions.

  6. Tensor - Wikipedia

    en.wikipedia.org/wiki/Tensor

    The collection of tensors on a vector space and its dual forms a tensor algebra, which allows products of arbitrary tensors. Simple applications of tensors of order 2 , which can be represented as a square matrix, can be solved by clever arrangement of transposed vectors and by applying the rules of matrix multiplication, but the tensor product ...

  7. Multilinear algebra - Wikipedia

    en.wikipedia.org/wiki/Multilinear_algebra

    Multilinear algebra is the study of functions with multiple vector-valued arguments, with the functions being linear maps with respect to each argument. It involves concepts such as matrices, tensors, multivectors, systems of linear equations, higher-dimensional spaces, determinants, inner and outer products, and dual spaces.

  8. Search, sort, and manage files with the Download Manager in ...

    help.aol.com/articles/search-sort-and-manage...

    The AOL Desktop Gold Download Manager allows you to access a list of your downloaded files in one convenient location. Use the Download Manager to access and search downloads, sort downloads, web search similar items, and more. Open the Download Manager to access a download

  9. Voigt notation - Wikipedia

    en.wikipedia.org/wiki/Voigt_notation

    In mathematics, Voigt notation or Voigt form in multilinear algebra is a way to represent a symmetric tensor by reducing its order. [1] There are a few variants and associated names for this idea: Mandel notation, Mandel–Voigt notation and Nye notation are others found.