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谷歌TensorFlow机器学习框架及应用

章敏敏 徐和平 王晓洁 周梦昀 洪淑月

微型机与应用2017,Vol.36Issue(10):58-60,3.
微型机与应用2017,Vol.36Issue(10):58-60,3.DOI:10.19358/j.issn.1674-7720.2017.10.017

谷歌TensorFlow机器学习框架及应用

Application of Google TensorFlow machine learning framework

章敏敏 1徐和平 1王晓洁 1周梦昀 1洪淑月1

作者信息

  • 1. 浙江师范大学 数理与信息工程学院,浙江 金华 321004
  • 折叠

摘要

Abstract

TensorFlow is the second generation of Google's open source artificial intelligence learning system, which is used to achieve the neural network built-in framework for learning software library.At present, TensorFlow machine learning has become a hot research topic.Starting from the basic algorithm of machine learning, this paper analyzes machine learning algorithm and TensorFlow framework, and through building environment in the Linux system, simulates TensorFlow model of handwritten character recognition, to achieve handwritten character recognition, so as to realize the TensorFlow machine learning and application framework.

关键词

TensorFlow/机器学习/应用

Key words

TensorFlow/machine learning/application

分类

信息技术与安全科学

引用本文复制引用

章敏敏,徐和平,王晓洁,周梦昀,洪淑月..谷歌TensorFlow机器学习框架及应用[J].微型机与应用,2017,36(10):58-60,3.

微型机与应用

2097-1788

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