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  2. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras contains numerous implementations of commonly used neural-network building blocks such as layers, objectives, activation functions, optimizers, and a host of tools for working with image and text data to simplify programming in deep neural network area. [11]

  3. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow also offers a variety of libraries and extensions to advance and extend the models and methods used. [67] For example, TensorFlow Recommenders and TensorFlow Graphics are libraries for their respective functionalities in recommendation systems and graphics, TensorFlow Federated provides a framework for decentralized data, and ...

  4. Artificial intelligence in hiring - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    The growing use of Artificial Intelligence-enabled hiring systems has become an important component of modern talent hiring, particularly through social networks such as LinkedIn and Facebook. However, data overflow embedded in the hiring systems, based on Natural Language Processing (NLP) methods, may result in unconscious gender bias.

  5. Flux (machine-learning framework) - Wikipedia

    en.wikipedia.org/wiki/Flux_(machine-learning...

    Flux has been used as a framework to build neural networks that work with homomorphic encrypted data without ever decrypting it. [20] [21] This kind of application is envisioned to be central for privacy to future API using machine-learning models. [22] Flux.jl is an intermediate representation for running high level programs on CUDA hardware.

  6. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  7. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    The tensor processing unit was announced in May 2016 at Google I/O, when the company said that the TPU had already been used inside their data centers for over a year. [ 5 ] [ 4 ] Google's 2017 paper describing its creation cites previous systolic matrix multipliers of similar architecture built in the 1990s. [ 8 ]

  8. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.

  9. Taleo - Wikipedia

    en.wikipedia.org/wiki/Taleo

    Taleo Corporation was a publicly traded database vendor based in Dublin, California, which was acquired by Oracle in 2012. [1] Taleo's product offerings primarily focus on talent acquisition (recruitment), performance management, learning and development, and compensation management.

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