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  2. Hyperparameter (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_(machine...

    In machine learning, a hyperparameter is a parameter that can be set in order to define any configurable part of a model's learning process. Hyperparameters can be classified as either model hyperparameters (such as the topology and size of a neural network) or algorithm hyperparameters (such as the learning rate and the batch size of an optimizer).

  3. Constant-Q transform - Wikipedia

    en.wikipedia.org/wiki/Constant-Q_transform

    The variable-Q transform is the same as constant-Q transform, but the only difference is the filter Q is variable, hence the name variable-Q transform. The variable-Q transform is useful where time resolution on low frequencies is important [examples needed].

  4. Google JAX - Wikipedia

    en.wikipedia.org/wiki/Google_JAX

    It is designed to follow the structure and workflow of NumPy as closely as possible and works with various existing frameworks such as TensorFlow and PyTorch. [5] [6] The primary functions of JAX are: [2] grad: automatic differentiation; jit: compilation; vmap: auto-vectorization; pmap: Single program, multiple data (SPMD) programming

  5. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow includes an “eager execution” mode, which means that operations are evaluated immediately as opposed to being added to a computational graph which is executed later. [35] Code executed eagerly can be examined step-by step-through a debugger, since data is augmented at each line of code rather than later in a computational graph. [35]

  6. Mark Ruffalo Admits 2024 Was 'Rough' as He Shares ... - AOL

    www.aol.com/mark-ruffalo-admits-2024-rough...

    For Mark Ruffalo, kindness is key as the world turns its calendars to 2025.. The actor, 57, shared a photo of himself lounging shirtless on Instagram Tuesday, Dec. 31, as he reflected that this ...

  7. 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 ...

  8. Stalker jailed for 'scaring life out of victim' - AOL

    www.aol.com/stalker-jailed-scaring-life-victim...

    A stalker who "scared the life" out of a woman in his "relentless" pursuit of her has been jailed. Tyson Junior Miller, 37, of Hill Rise, Chippenham, turned up at the house of his victim and sent ...

  9. Daniel Jones signing with Vikings after release from Giants - AOL

    www.aol.com/sports/daniel-jones-reportedly-sign...

    Daniel Jones has found his new team. The former New York Giants quarterback is expected to sign with the Minnesota Vikings, head coach Kevin O'Connell announced on Wednesday.