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The open-source machine learning framework powering AI innovation.

➤TensorFlow is an Open-Source Machine Learning Library:
Developed by Google Brain, TensorFlow is a powerful platform used to build and train machine learning and deep learning models.
➤Launched by Google in 2015:
TensorFlow was released as an open-source project in November 2015, making advanced AI tools widely accessible to developers and researchers.
➤Supports Multiple Programming Languages:
While primarily written in Python, TensorFlow also supports JavaScript, C++, Java, and Swift, enabling flexible development across platforms.
➤Enables Deep Learning with Neural Networks:
TensorFlow provides comprehensive tools to design and train neural networks, including CNNs, RNNs, and transformers for image, text, and speech tasks.
➤Highly Scalable for Research and Production:
TensorFlow can be used on CPUs, GPUs, and TPUs, making it ideal for everything from mobile apps to enterprise-scale AI solutions.
➤Backed by a Robust Ecosystem of Tools and APIs:
TensorFlow includes supporting tools like TensorBoard (for visualization), TensorFlow Lite (for mobile), and TensorFlow Extended (for production pipelines).
➤Used by Top Companies, Startups, and Researchers:
From Google to startups, thousands of organizations rely on TensorFlow to power image recognition, NLP, healthcare diagnostics, robotics, and more.
➤Optimized for Performance and Speed:
TensorFlow uses a computational graph system that optimizes operations for speed, parallel processing, and distributed computing.

➤Active Community and Extensive Documentation:
TensorFlow has a massive developer community, tutorials, pre-trained models, and documentation that support beginners and experts alike.
➤Drives Innovation in AI Across Industries:
With TensorFlow, developers build cutting-edge AI applications in fields like finance, automotive, healthcare, education, and natural language processing.