TensorFlow Lite (TFLite) is a set of tools that enables on-device machine learning by converting TensorFlow models to a compressed flat buffer format optimized for mobile, embedded, and IoT devices. It's commonly used for running machine learning models directly on devices like smartphones, microcontrollers, and edge devices for tasks such as image classification, object detection, natural language processing, and audio recognition, without relying on a network connection.
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