- Distributed Computing
- Machine Learning
- Information Privacy
- Application Programming Interface (API)
- Deep Learning
- Web Servers
- Data Processing
- Applied Machine Learning
- Data Security
- Tensorflow
- MLOps (Machine Learning Operations)
- Data Visualization
Advanced Deployment Scenarios with TensorFlow
Completed by Mohammad Hasan Tajuk Rizal
May 11, 2024
12 hours (approximately)
Mohammad Hasan Tajuk Rizal'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
