通过实施目标设定战略方针和应用人性化绩效来帮助确定关键优先事项，从而简化和优化您的 ML 生产工作流程。
13个视频3篇阅读材料1个作业
开发省时的错误分析程序，以评估最值得追求的方案，并获得如何分割数据以及何时使用多任务、转移和端到端深度学习的直觉。
11个视频2篇阅读材料1个作业
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
DeepLearning.AI
Amazon Web Services
Duke University
50,110 条评论
82.93%
13.62%
2.80%
0.48%
0.15%
显示 3/50110 个
已于 Jul 25, 2018审阅
Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN을 실제 적용할때 반드시 이해하고 적용해야 할 실질적 내용들로 구성된 멋진 코스 입니다!
已于 Feb 19, 2019审阅
This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience
已于 Apr 6, 2018审阅
A lot of concrete examples, including those in the lectures and in the tests. Gained some thoughts on how to manage a ML project. Thanks Andrew and deeplearning.ai for providing such a great course.
要获取课程资料、作业和证书，您需要在注册课程时购买证书体验。 您可以尝试免费试听，或申请资助。课程可能提供 "完整课程，无证书"。通过该选项，您可以查看所有课程资料，提交必要的评估，并获得最终成绩。这也意味着您无法购买证书体验。
注册课程后，您就可以访问专项课程中的所有课程，完成作业后还可以获得证书。您的电子证书将添加到您的 "成就 "页面--在那里，您可以打印证书或将其添加到您的 LinkedIn 个人资料中。
是的。在特定的学习课程中，如果您付不起注册费，可以申请助学金或奖学金。如果您选择的学习课程有助学金或奖学金，您可以在说明页面找到申请链接。
提供助学金，
