Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.
提供方
TensorFlow: Data and Deployment 专项课程deeplearning.ai课程信息
6,632 次近期查看
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 4 门课程（共 4 门）
中级
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have basic familiarity with building models in TensorFlow.
完成时间大约为18 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将学到的内容有
Use TensorFlow Serving to do inference over the web
Navigate TensorFlow Hub, a repository of models that you can use for transfer learning
Evaluate how your models work and share model metadata using TensorBoard
Explore federated learning and how to retrain deployed models while maintaining data privacy
您将获得的技能
- TensorFlow Serving
- Machine Learning
- federated learning
- TensorFlow Hub
- TensorBoard
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 4 门课程（共 4 门）
中级
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have basic familiarity with building models in TensorFlow.
完成时间大约为18 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
授课大纲 - 您将从这门课程中学到什么
完成时间为 3 小时
TensorFlow Extended
完成时间为 3 小时
12 个视频 （总计 21 分钟）, 5 个阅读材料, 3 个测验
完成时间为 6 小时
Sharing pre-trained models with TensorFlow Hub
完成时间为 6 小时
11 个视频 （总计 20 分钟）, 7 个阅读材料, 3 个测验
完成时间为 6 小时
Tensorboard: tools for model training
完成时间为 6 小时
10 个视频 （总计 16 分钟）, 2 个阅读材料, 3 个测验
完成时间为 2 小时
Federated Learning
完成时间为 2 小时
9 个视频 （总计 22 分钟）, 3 个阅读材料, 2 个测验
审阅
来自ADVANCED DEPLOYMENT SCENARIOS WITH TENSORFLOW的热门评论
由 DR 提供Jun 6, 2020
Enjoyed this specialization as much as I did the Tensorflow in practice. Thank you Laurence Moroney and Andrew Ng for getting these cool topics to all of us, so we can contribute back to community.
由 FL 提供Mar 19, 2020
The first week is very useful. Tensorhub seems not helpful in a private company setting.\n\nI wish they talked about tf estimators which is also a common way to deploy models in SageMaker.
由 SM 提供Apr 10, 2020
This topic seems to be very important but the content is not as good as rest of the weeks content, more explanations and more simple examples could have helped
由 AS 提供Jan 21, 2021
The fact that there were still some problems in the Course regarding technical or exercise based, it shows that this material is relatively new in the domain.
关于 TensorFlow: Data and Deployment 专项课程
Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models.
常见问题
我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。
