MLOps- 吴恩达Andrew Ng Selecting and Training a Model Week2 论文等资料汇总
Posted 架构师易筋
tags:
篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了MLOps- 吴恩达Andrew Ng Selecting and Training a Model Week2 论文等资料汇总相关的知识，希望对你有一定的参考价值。
Week 2: Select and Train Model
If you wish to dive more deeply into the topics covered this week, feel free to check out these optional references. You won’t have to read these to complete this week’s practice quizzes.
Papers
-
Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., … Anderljung, M. (n.d.). Toward trustworthy AI development: Mechanisms for supporting verifiable claims∗. Retrieved May 7, 2021http://arxiv.org/abs/2004.07213v2
-
Nakkiran, P., Kaplun, G., Bansal, Y., Yang, T., Barak, B., & Sutskever, I. (2019). Deep double descent: Where bigger models and more data hurt. Retrieved from http://arxiv.org/abs/1912.02292
以上是关于MLOps- 吴恩达Andrew Ng Selecting and Training a Model Week2 论文等资料汇总的主要内容，如果未能解决你的问题，请参考以下文章
MLOps- 吴恩达Andrew Ng Selecting and Training a Model Week2 论文等资料汇总
MLOps- 吴恩达Andrew Ng Overview of the ML Lifecycle and Deployment Week1 论文等资料汇总
MLOps- 吴恩达Andrew Ng Data Definition and Baseline Week3 实验作业
MLOps- 吴恩达Andrew Ng Selecting and Training a Model Week2 实验作业
MLOps- 吴恩达Andrew Ng Overview of the ML Lifecycle and Deployment Week1 部署深度学习模型model 实现