摘要
本文主要研究和分析了TensorFlowLite开发平台,介绍了其框架结构、平台特点等。在此基础上,本文进行了性能测试实验,对TensorFlow Lite的性能表现进行评估,实验结果表明TensorFlow Lite在物体识别的准确率和识别速度上均有不错的表现。
This paper mainly studies and analyzes the Tensor Flow Lite development platform,introduces its framework,platform features and so on.On this basis,performance testing experiments are carried out to evaluate the performance of TensorFlow Lite.The experimental results show that TensorFlow Lite has good performance in the accuracy and speed of object recognition.
作者
高陆川
Gao Luchuan(RIZHAO NO.1 MIDDLE SCHOOL OF SHANDONG,Rizhao Shandong,276000)
出处
《电子测试》
2018年第20期64-65,85,共3页
Electronic Test
