explanation
TensorFlow: Data and Deployment Specialization is a TensorFlow course for working with and developing with data. Continue developing your TensorFlow technology. In this series of four courses, you’ll learn how to effectively teach machine learning models using data. It starts with understanding how to teach and implement machine learning models in browsers and mobile applications. You’ll learn how to use internal datasets in just a few lines of code. Learn about pipelines that use TensorFlow services and control data separation using the API. You will learn how to handle all types of unstructured data and how to retrain models developed using user data.
What you’ll learn in TensorFlow: Data and Deployment Specialization:
- Run models in the browser using TensorFlow.js
- Prepare and scale models on mobile devices with TensorFlow Lite.
- With TensorFlow Data Services, accessing, classifying, and processing training data is easier than ever.
- Knowledge of three advanced development scenarios using TensorFlow Serving, TensorFlow Hub, and TensorBoard.
Course details:
Publisher: Coursera
teacher: Lawrence Moroney
Language: English
Education level: average
Number of courses: 4
Period: Assuming 3 hours per week, 4 months
TensorFlow Course: Data and Deployment Specialization:
Course 1
Browser-based model using TensorFlow.js
course 2
Device-based models using TensorFlow Lite
Course 3
Data pipeline using TensorFlow data service
4 courses
Advanced deployment scenarios using TensorFlow
Course Prerequisites:
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