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附录

A 参考资料

  1. Deep-Learning-in-Production
    工程化部署资料;
  2. 李景峰. 深度学习轻量级推理及加速[EB/OL]. https://zhuanlan.zhihu.com/p/51569443. 2018-12-04/2019-09-18.
  3. 神奇博士. 深度学习框架的来龙去脉——史上最全面最新的深度学习框架对比分析[EB/OL]. https://zhuanlan.zhihu.com/p/59086302. 2019-03-13/2019-09-18.
  4. Antkillerfarm Hacking. Tensor2Tensor, NN中间语言, MXNet. https://antkillerfarm.github.io/ai/2018/09/20/tensor2tensor.html. 2018-09-20/2019-09-18.
  5. ysh329. deep-learning-model-convertor[EB/OL]. https://github.com/ysh329/deep-learning-model-convertor. 2018/2019-09-18.
  6. 技术小能手 . 深度学习的IR“之争”[EB/OL]. https://yq.aliyun.com/articles/208686. 2017-09-14/2019-09-18.
  7. 爱奇艺技术产品团队:张磊. 基于CPU的深度学习推理部署优化实践[EB/OL]. https://www.jiqizhixin.com/articles/2018-12-24-32. 2018-12-24/2018-09-18.
  8. 爱奇艺技术产品团队. 基于 CPU 的深度学习推理部署优化实践[EB/OL]. https://www.infoq.cn/article/j7Hs9dGt5YLVgUTY-K9B. 2019-02-05/2019-09-18.

B 研究员

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