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  2. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    Google used TensorFlow to create DermAssist, a free mobile application that allows users to take pictures of their skin and identify potential health complications. [75] Sinovation Ventures used TensorFlow to identify and classify eye diseases from optical coherence tomography (OCT) scans.

  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. 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 ...

  5. 9 Best Streaming Services To Watch Free Movies Online - AOL

    www.aol.com/9-best-streaming-services-watch...

    Websites To Watch Full Movies for Free: 9 Safe, Secure and Legal Options. These sites allow you to stream movies and TV shows for free. Some don’t require you to open an account, and, if you do ...

  6. Statistical inference - Wikipedia

    en.wikipedia.org/wiki/Statistical_inference

    Statistical inference makes propositions about a population, using data drawn from the population with some form of sampling.Given a hypothesis about a population, for which we wish to draw inferences, statistical inference consists of (first) selecting a statistical model of the process that generates the data and (second) deducing propositions from the model.

  7. Glossary of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_artificial...

    Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...

  8. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    Assuming full knowledge of the Markov decision process, the two basic approaches to compute the optimal action-value function are value iteration and policy iteration. Both algorithms compute a sequence of functions (=,,, …) that converge to . Computing these functions involves computing expectations over the whole state-space, which is ...

  9. Teradata - Wikipedia

    en.wikipedia.org/wiki/Teradata

    In October 2018, Teradata started calling the cloud analytics software product line Vantage. Vantage is composed of various analytics engines on a core relational database, including the Aster graph database and a machine learning engine. The capability to leverage open-source analytic engines such as Spark and TensorFlow was released. [65]

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