- Web Servers
- Deep Learning
- Tensorflow
- MLOps (Machine Learning Operations)
- Data Security
- Data Processing
- Applied Machine Learning
- Data Visualization
- Application Programming Interface (API)
- Machine Learning
- Distributed Computing
- Application Deployment
Advanced Deployment Scenarios with TensorFlow
Completed by Kimchann Chon
April 29, 2021
12 hours (approximately)
Kimchann Chon's account is verified. Coursera certifies their successful completion of Advanced Deployment Scenarios with TensorFlow
What you will learn
Use TensorFlow Serving to do inference over the web
Navigate TensorFlow Hub, a repository of models that you can use for transfer learning
Evaluate how your models work and share model metadata using TensorBoard
Explore federated learning and how to retrain deployed models while maintaining data privacy
Skills you will gain
