TensorFlow Lite is a set of tools that enables on-device machine learning by helping developers run their models on mobile, embedded, and IoT devices. The key features of TensorFlow Lite are optimized for on-device machine learning, with a focus on latency, privacy, connectivity, size, and power consumption. The framework is built to provide support for multiple platforms, including Android and iOS devices, embedded Linux, and microcontrollers. It also has built-in support for a variety of languages, such as Java, Swift, Objective-C, C++, and Python, and it has high performance with hardware acceleration and model optimization. It provides end-to-end examples for common machine learning tasks, such as image classification, object detection, pose estimation, question answering, and text classification, on multiple platforms.<\/p>\n\n\n\n