提供方


您将学到的内容有
Run models in your browser using TensorFlow.js
Prepare and deploy models on mobile devices using TensorFlow Lite
Access, organize, and process training data more easily using TensorFlow Data Services
Explore four advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, and TensorBoard
您将获得的技能
关于此 专项课程
应用的学习项目
In the TensorFlow: Data and Deployment Specialization, you will learn to apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more, implementing projects you can add to your portfolio and show in interviews.
需要一些相关领域经验。需要一些相关经验。
需要一些相关领域经验。需要一些相关经验。
此专项课程包含 4 门课程
Browser-based Models with TensorFlow.js
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.
Device-based Models with TensorFlow Lite
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.
Data Pipelines with TensorFlow Data Services
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.
Advanced Deployment Scenarios with TensorFlow
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

deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
常见问题
退款政策是如何规定的?
我可以只注册一门课程吗?
有助学金吗?
我可以免费学习课程吗?
此课程是 100% 在线学习吗?是否需要现场参加课程?
完成专项课程后我会获得大学学分吗?
还有其他问题吗?请访问 学生帮助中心。