Resource-efficient ML for Edge and Endpoint IoT Devices

下载

2019年5月

SeeDot is an automatic quantization tool that generates efficient machine learning (ML) inference code for IoT devices. ML models are usually expressed in floating-point, and IoT devices typically lack hardware support for floating-point arithmetic. Hence, running such ML models on…

Github for SeeDot

2018年12月

Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One example of a ubiquitous real-world application where such models are desirable is resource-scarce devices and sensors in the Internet…

Github for Edge Machine Learning (Edge ML)