论文标题
DLSPEC：深度学习任务交换规范
DLSpec: A Deep Learning Task Exchange Specification
论文作者
论文摘要
深度学习（DL）创新正在迅速引入。但是，目前缺乏DL任务的标准规范会使共享，运行，复制和比较这些创新困难。为了解决此问题，我们建议DLSPEC，一个模型，数据集，软件和硬件 - 敏捷的DL规范，以捕获DL任务的不同方面。 DLSPEC已通过指定和运行数百个DL任务进行了测试。
Deep Learning (DL) innovations are being introduced at a rapid pace. However, the current lack of standard specification of DL tasks makes sharing, running, reproducing, and comparing these innovations difficult. To address this problem, we propose DLSpec, a model-, dataset-, software-, and hardware-agnostic DL specification that captures the different aspects of DL tasks. DLSpec has been tested by specifying and running hundreds of DL tasks.
