- Tensorflow
- Applied Machine Learning
- Application Deployment
- Distributed Computing
- Data Visualization
- Machine Learning
- MLOps (Machine Learning Operations)
- Information Privacy
- Web Servers
- Application Programming Interface (API)
- Data Security
- Deep Learning
Advanced Deployment Scenarios with TensorFlow
Completed by Sukanya Sanjay Nadagadalli
April 14, 2020
12 hours (approximately)
Sukanya Sanjay Nadagadalli'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
