TensorFlow Lite is a tool for deploying machine learning models on mobile and IoT devices. It supports conversion from various frameworks like PyTorch and TensorFlow, and offers optimization methods like post-training quantization. It facilitates GPU and NPU acceleration and provides a range of APIs for different platforms including Android, iOS, and web. TensorFlow Lite enables on-device training, model optimization, and custom operator implementation, making it a versatile choice for developers looking to run AI applications efficiently on the edge.
