關於此 專項課程

14,397 次近期查看
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. Looking for a place to start? Master the foundational basics of TensorFlow with the DeepLearning.AI TensorFlow Developer Professional Certificate. Looking to customize and build powerful real-world models for complex scenarios? Check out the TensorFlow: Advanced Techniques Specialization.
學生職業成果
50%
加薪或升職。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為4 個月
建議 3 小時/週
英語(English)
學生職業成果
50%
加薪或升職。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為4 個月
建議 3 小時/週
英語(English)

此專項課程包含 4 門課程

課程1

課程 1

Browser-based Models with TensorFlow.js

4.7
636 個評分
151 條評論
課程2

課程 2

Device-based Models with TensorFlow Lite

4.6
349 個評分
74 條評論
課程3

課程 3

Data Pipelines with TensorFlow Data Services

4.1
260 個評分
73 條評論
課程4

課程 4

Advanced Deployment Scenarios with TensorFlow

4.7
237 個評分
34 條評論

提供方

Placeholder

deeplearning.ai

常見問題

還有其他問題嗎?請訪問 學生幫助中心