TensorFlow is a free and open-source software library for machine learning and artificial intelligence.
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TensorFlow is a free and open-source software library for machine learning and artificial intelligence.
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TensorFlow was developed by the Google Brain team for internal Google use in research and production.
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TensorFlow is available on 64-bit Linux, macOS, Windows, and mobile computing platforms including Android and iOS.
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The name TensorFlow derives from the operations that such neural networks perform on multidimensional data arrays, which are referred to as tensors.
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In January 2019, TensorFlow team released a developer preview of the mobile GPU inference engine with OpenGL ES 3.
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TensorFlow includes an “eager execution” mode, which means that operations are evaluated immediately as opposed to being added to a computational graph which is executed later.
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In both eager and graph executions, TensorFlow provides an API for distributing computation across multiple devices with various distribution strategies.
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TensorFlow offers a set of optimizers for training neural networks, including ADAM, ADAGRAD, and Stochastic Gradient Descent .
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TensorFlow serves as the core platform and library for machine learning.
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TensorFlow Lite has APIs for mobile apps or embedded devices to generate and deploy TensorFlow models.
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TensorFlow Lite uses FlatBuffers as the data serialization format for network models, eschewing the Protocol Buffers format used by standard TensorFlow models.
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Numpy is one of the most popular Python data libraries, and TensorFlow offers integration and compatibility with its data structures.
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TensorFlow offers a variety of libraries and extensions to advance and extend the models and methods used.
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Google used TensorFlow to create DermAssist, a free mobile application that allows users to take pictures of their skin and identify potential health complications.
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Sinovation Ventures used TensorFlow to identify and classify eye diseases from optical coherence tomography scans.
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TensorFlow was used to accurately assess a student's current abilities, and helped decide the best future content to show based on those capabilities.
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E-commerce platform Carousell used TensorFlow to provide personalized recommendations for customers.
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The cosmetics company ModiFace used TensorFlow to create an augmented reality experience for customers to test various shades of make-up on their face.
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TensorFlow is the foundation for the automated image-captioning software DeepDream.
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