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Course Outline
TensorFlow Serving Overview
- What is TensorFlow Serving?
- TensorFlow Serving architecture
- Serving API and REST client API
Preparing the Development Environment
- Installing and configuring Docker
- Installing ModelServer with Docker
TensorFlow Server Quick Start
- Training and exporting a TensorFlow model
- Monitoring storage systems
- Loading exported model
- Building a TensorFlow ModelServer
Advanced Configuration
- Writing a config file
- Reloading Model Server configuration
- Configuring models
- Working with monitoring configuration
Testing the Application
- Testing and running the server
Debugging the Application
- Handling errors
TensorFlow Serving with Kubernetes
- Running in Docker containers
- Deploying serving clusters
Securing the Application
- Hiding data
Troubleshooting
Summary and Conclusion
Requirements
- Experience with TensorFlow
- Experience with the Linux command line
Audience
- Developers
- Data scientists
7 Hours
Testimonials (4)
I liked the opportunities to ask questions and get more in depth explanations of the theory.
Sharon Ruane
Course - Neural Networks Fundamentals using TensorFlow as Example
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
Course - TensorFlow for Image Recognition
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Course - TensorFlow Extended (TFX)
Los ejemplos y la paciencia del instructor