- Application Programming Interface (API)
- Model Evaluation
- Data Visualization
- Federated Learning
- Artificial Neural Networks
- Transfer Learning
- Model Deployment
- Information Privacy
- Tensorflow
- Machine Learning
Advanced Deployment Scenarios with TensorFlow
Completed by Till Richter
November 30, 2020
12 hours (approximately)
Till Richter'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
