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  • Introduction to TensorFlow - GeeksforGeeks
    TensorFlow is an open-source framework for machine learning (ML) and artificial intelligence (AI) that was developed by Google Brain It was designed to facilitate the development of machine learning models, particularly deep learning models by providing tools to easily build, train and deploy them across different platforms
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    TensorFlow is an open source software library for high performance numerical computation Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices
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    TensorFlow in Python helps build machine learning models Whether you’re a beginner or an experienced developer, TensorFlow’s comprehensive ecosystem and robust features make it an invaluable tool in your AI toolkit
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  • TensorFlow | Google Open Source Projects
    TensorFlow is an end-to-end open source platform for machine learning It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and gives developers the ability to easily build and deploy ML-powered applications
  • The TensorFlow Blog
    What's new in TensorFlow 2 13 and Keras 2 13? The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow js, TF Lite, TFX, and more
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    TensorFlow is an open-source library for numerical computation, large-scale machine learning, deep learning, and other statistical and predictive analytics workloads
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    TensorFlow is an open-source machine-learning framework developed by Google It is written in Python, making it accessible and easy to understand It is designed to build and train machine learning (ML) and deep learning models




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