关于此 专项课程

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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. In this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more. Industries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever. This Specialization builds upon skills learned in the TensorFlow in Practice Specialization. We recommend learners complete that Specialization prior to enrolling in TensorFlow: Data and Deployment.
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100% 在线课程
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设置并保持灵活的截止日期。
中级
完成时间大约为4 个月
建议 3 小时/周
英语(English)
学生职业成果
33%
加薪或升职。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为4 个月
建议 3 小时/周
英语(English)

此专项课程包含 4 门课程

课程1

课程 1

Browser-based Models with TensorFlow.js

4.7
609 个评分
144 条评论
课程2

课程 2

Device-based Models with TensorFlow Lite

4.6
335 个评分
72 条评论
课程3

课程 3

Data Pipelines with TensorFlow Data Services

4.1
252 个评分
73 条评论
课程4

课程 4

Advanced Deployment Scenarios with TensorFlow

4.7
227 个评分
34 条评论

提供方

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deeplearning.ai

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