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  2. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow 2.0 introduced many changes, the most significant being TensorFlow eager, which changed the automatic differentiation scheme from the static computational graph to the "Define-by-Run" scheme originally made popular by Chainer and later PyTorch. [32]

  3. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with ...

  4. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0: Yes Apache Spark Scala Scala, Python No No Yes Yes Yes Yes Caffe: Berkeley Vision and Learning Center 2013 BSD: Yes Linux, macOS, Windows [3] C++: Python ...

  5. Differentiable programming - Wikipedia

    en.wikipedia.org/wiki/Differentiable_programming

    Static, compiled graph-based approaches such as TensorFlow, [note 1] Theano, and MXNet. They tend to allow for good compiler optimization and easier scaling to large systems, but their static nature limits interactivity and the types of programs that can be created easily (e.g. those involving loops or recursion ), as well as making it harder ...

  6. 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 ...

  7. Talk:TensorFlow - Wikipedia

    en.wikipedia.org/wiki/Talk:TensorFlow

    Are you claiming TensorFlow has no drawbacks, deficiencies, or problems of any kind? If there are some, then they should be put into the article, or it should state that TensorFlow is perfect and flawless. 2600:8800:7000:33:0:0:0:4F5 02:47, 3 December 2019 (UTC) @Jebcubed: Which negative information does this article omit, specifically? Which ...

  8. PlaidML - Wikipedia

    en.wikipedia.org/wiki/PlaidML

    PlaidML is a portable tensor compiler.Tensor compilers bridge the gap between the universal mathematical descriptions of deep learning operations, such as convolution, and the platform and chip-specific code needed to perform those operations with good performance.

  9. Plus-X - Wikipedia

    en.wikipedia.org/wiki/Plus-X

    Plus-X or Plus X may refer to Venus Plus X, a 1960 science fiction novel written by Theodore Sturgeon "Plus X", a 1956 science fiction novella by Eric Frank Russell, later expanded into Next of Kin +×, a logo for EDM artist Martin Garrix +x, adding execute permission with the system call chmod as used in Unix-like operating systems.