DeepLearning.AI - TensorFlow: Data and Deployment Specialization
- Offered byCoursera
- Public/Government Institute
TensorFlow: Data and Deployment Specialization at Coursera Overview
TensorFlow: Data and Deployment Specialization
at Coursera
Duration | 4 months |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
TensorFlow: Data and Deployment Specialization
Table of content
TensorFlow: Data and Deployment Specialization at Coursera Highlights
TensorFlow: Data and Deployment Specialization
at Coursera
- Earn a certificate upon completion
from Coursera
TensorFlow: Data and Deployment Specialization at Coursera Course details
TensorFlow: Data and Deployment Specialization
at Coursera
More about this course
- Continue developing skills in TensorFlow and 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, students will learn how to get their 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
- Students can apply their knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more
- This Specialization from Laurence Moroney and Andrew Ng will help develop and deploy machine learning models across any device or platform faster and more accurately than ever
TensorFlow: Data and Deployment Specialization at Coursera Curriculum
TensorFlow: Data and Deployment Specialization
at Coursera
Browser-based Models with TensorFlow.js
Device-based Models with TensorFlow Lite
Data Pipelines with TensorFlow Data Services
Advanced Deployment Scenarios with TensorFlow
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