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  2. Laravel - Wikipedia

    en.wikipedia.org/wiki/Laravel

    An increase of Laravel's userbase and popularity lined up with the release of Laravel 3. [1] Laravel 4, codenamed Illuminate, was released in May 2013. It was made as a complete rewrite of the Laravel framework, migrating its layout into a set of separate packages distributed through Composer, which serves as an application-level package manager.

  3. Livewire Segmentation Technique - Wikipedia

    en.wikipedia.org/wiki/Livewire_Segmentation...

    Example of livewire segmentation on a baby's photo. Livewire, is a segmentation technique which allows a user to select regions of interest to be extracted quickly and accurately, using simple mouse clicks. [1] It is based on the lowest cost path algorithm, by Edsger W. Dijkstra. Firstly convolve the image with a Sobel filter to extract edges ...

  4. Livewire (networking) - Wikipedia

    en.wikipedia.org/wiki/Livewire_(networking)

    Livewire is an audio-over-IP system created by Axia Audio, a division of Telos Alliance. Its primary purpose is routing and distributing broadcast-quality audio in radio stations . The original Livewire standard was introduced in 2003 and has since been superseded by a second version, Livewire+.

  5. Livewire - Wikipedia

    en.wikipedia.org/wiki/Livewire

    Livewire(s), Live Wire(s), The Live Wire or Live Wired may refer to: Live wire (electricity), a wire with a flow of electric current; Computers.

  6. Adaptive learning - Wikipedia

    en.wikipedia.org/wiki/Adaptive_learning

    Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner. [1]

  7. Supervised learning - Wikipedia

    en.wikipedia.org/wiki/Supervised_learning

    A wide range of supervised learning algorithms are available, each with its strengths and weaknesses. There is no single learning algorithm that works best on all supervised learning problems (see the No free lunch theorem).

  8. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

  9. PHP - Wikipedia

    en.wikipedia.org/wiki/PHP

    PHP is a popular general-purpose scripting language that is especially suited to web development.