- Data Processing
- Application Deployment
- Machine Learning
- Data Visualization
- Data Security
- Distributed Computing
- Deep Learning
- Web Servers
- Tensorflow
- Applied Machine Learning
- MLOps (Machine Learning Operations)
- Information Privacy
Advanced Deployment Scenarios with TensorFlow
Completed by Christian Klaus Splith
January 24, 2023
12 hours (approximately)
Christian Klaus Splith'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
