How can I deploy a TensorFlow model in production?
You can deploy a TensorFlow model using TensorFlow Serving, Docker, or cloud services like AWS or GCP.
What is TensorFlow Serving?
TensorFlow Serving is a flexible, high-performance serving system for machine learning models designed for production environments.
Can I use Docker for deployment?
Yes, you can containerize your TensorFlow model using Docker, which makes it easier to deploy across different environments.
What are the best practices for deploying models?
Best practices include versioning your models, monitoring performance, and ensuring scalability.
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