What is TensorFlow Serving?
TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments.
How does it differ from regular TensorFlow?
While TensorFlow is primarily for model training, TensorFlow Serving focuses on deploying and serving models efficiently.
Can I use it with models trained in other frameworks?
Yes, TensorFlow Serving can serve models from other frameworks, but you may need to convert them to a compatible format.
What are the benefits of using TensorFlow Serving?
It offers features like versioning, A/B testing, and easy integration with other services, making it ideal for production.
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