【24h】

TwinDNN: A Tale of Two Deep Neural Networks

机译:Twindnn:两个深神经网络的故事

获取原文

摘要

Machine learning is one of the most popular fields in the current era. It is used in various areas, such as speech recognition, face recognition, medical diagnosis, etc. However, the problem is that the neural networks for machine learning applications are becoming too large and slow as they get more complicated and powerful. This problem gets especially serious when neural networks are used for edge devices with a small chip. As a result, researchers have proposed two major solutions to solve this problem.
机译:机器学习是当前时代最受欢迎的领域之一。 它被用于各种领域,例如语音识别,面部识别,医学诊断等,问题是机器学习应用的神经网络变得太大且慢,因为它们变得更加复杂和强大。 当主网络用于具有小芯片的边缘设备时,此问题尤其严重。 因此,研究人员提出了两种解决这个问题的主要解决方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号