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TensorFlow
See:
- TensorFlow on Google
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tensorflow is an open-source machine learning framework developed by Google. TensorFlow is used for building and training deep learning models and is widely adopted in applications ranging from image recognition to natural language processing.
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TensorFlow is an open-source machine learning framework developed by the Google Brain team. It is widely used for both research and production at Google. TensorFlow provides a comprehensive, flexible ecosystem of tools, libraries, and community resources that allows researchers to push the state-of-the-art in ML, and developers to easily build and deploy ML-powered applications. It supports a range of tasks but focuses primarily on training and inference of deep neural networks. TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. It enables the development of complex ML models with high performance and scalability, across both CPUs and GPUs, as well as on devices with limited computing power like smartphones and embedded systems. TensorFlow also includes TensorBoard, a data visualization toolkit to help debug and optimize models.
TensorFlowFair Use Sources
- TensorFlow on GitHub
- TensorFlow for Archive Access for Fair Use Preservation, quoting, paraphrasing, excerpting and/or commenting upon
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