TensorFlow Lite is an open-source deep learning framework for on-device inference. It enables machine learning models to run on mobile, embedded, and IoT devices, offering low latency and privacy benefits by performing computations locally rather than on a remote server. It is commonly used for applications like image recognition, object detection, natural language processing, and pose estimation directly on devices such as smartphones, microcontrollers, and edge computing devices.
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