arXiv (Cornell University) · 2019 · 132 citations · 12 references
ComputingComputer ScienceArtificial IntelligenceMachine LearningNatural Language ProcessingDeep LearningNeural NetworksSupervised LearningWeb ApisJavascriptMachine Learning SoftwareOn-device AnalyticsOn-device Machine LearningUse Cases
TensorFlow.js is a library for building and executing machine learning algorithms in JavaScript. TensorFlow.js models run in a web browser and in the Node.js environment. The library is part of the TensorFlow ecosystem, providing a set of APIs that are compatible with those in Python, allowing models to be ported between the Python and JavaScript ecosystems. TensorFlow.js has empowered a new set of developers from the extensive JavaScript community to build and deploy machine learning models and enabled new classes of on-device computation. This paper describes the design, API, and implementation of TensorFlow.js, and highlights some of the impactful use cases.
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