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  2. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    In May 2016, Google announced its Tensor processing unit (TPU), an application-specific integrated circuit (ASIC, a hardware chip) built specifically for machine learning and tailored for TensorFlow. A TPU is a programmable AI accelerator designed to provide high throughput of low-precision arithmetic (e.g., 8-bit ), and oriented toward using ...

  3. Tensor glyph - Wikipedia

    en.wikipedia.org/wiki/Tensor_glyph

    In scientific visualization a tensor glyph is an object that can visualize all or most of the nine degrees of freedom, such as acceleration, twist, or shear – of a matrix. It is used for tensor field visualization, where a data-matrix is available at every point in the grid. "Glyphs, or icons, depict multiple data values by mapping them onto ...

  4. 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 ...

  5. File:TensorFlow logo.svg - Wikipedia

    en.wikipedia.org/wiki/File:TensorFlow_logo.svg

    This logo image consists only of simple geometric shapes or text. It does not meet the threshold of originality needed for copyright protection, and is therefore in the public domain. Although it is free of copyright restrictions, this image may still be subject to other restrictions.

  6. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...

  7. Google Tensor - Wikipedia

    en.wikipedia.org/wiki/Google_Tensor

    Google Tensor is a series of ARM64-based system-on-chip (SoC) processors designed by Google for its Pixel devices. It was originally conceptualized in 2016, following the introduction of the first Pixel smartphone , though actual developmental work did not enter full swing until 2020.

  8. Reflowable document - Wikipedia

    en.wikipedia.org/wiki/Reflowable_document

    Example of reflowable text. A reflowable document is a type of electronic document that can adapt its presentation to the output device.Typical prepress or fixed page size output formats like PostScript or PDF are not reflowable during the actual printing process because the page is not resized.

  9. Reversing type - Wikipedia

    en.wikipedia.org/wiki/Reversing_type

    Reversing type (also reversing, knocking-out, reversed type) is a method of typographic printing with black or colored inks, in which the entire surface is printed, except for text elements. [1] Reversing is one of the special cases of printing on a color solid, when the color of the solid is black or colored, and the color of the letters is white.