TensorFlow is an open-source machine learning framework developed by Google. It provides a variety of tools to help developers and researchers build, train, and deploy machine learning models efficiently. Below are key TensorFlow tools and their use cases:

🔧 Core Tools

  • TensorFlow Playground
    A web-based tool for visualizing and experimenting with neural networks.

    TensorFlow_Playground
    *Explore interactive ML concepts here: [TensorFlow Playground](/en/tools/tensorflow_playground)*

  • TensorFlow Lite
    Optimized for mobile and embedded devices, enabling on-device machine learning.

    TensorFlow_Lite
    *Learn more about lightweight ML: [TensorFlow Lite Docs](/en/tools/tensorflow_lite)*

  • TensorFlow.js
    A JavaScript library for training and deploying ML models in the browser.

    TensorFlow_js
    *Try ML in the browser: [TensorFlow.js Tutorials](/en/tools/tensorflow_js)*

  • TensorFlow Extended (TFX)
    A end-to-end platform for production machine learning pipelines.

    TensorFlow_Extended
    *Build scalable ML workflows: [TFX Guide](/en/tools/tensorflow_extended)*

📚 Extend Your Knowledge

For hands-on practice, check out our Quickstart Guide to get started with TensorFlow in minutes! 🚀