What is the TensorFlow C++ API?
The TensorFlow C++ API allows developers to build and deploy machine learning models using C++. It's designed for performance and flexibility.
How does it compare to the Python API?
The C++ API is more low-level and offers better performance for production environments, while the Python API is more user-friendly and widely used for prototyping.
Can I use the C++ API for training models?
Yes, you can train models using the C++ API, but it's more common to train models in Python and then deploy them using C++.
What are some common use cases for the C++ API?
Common use cases include deploying models in high-performance applications, real-time inference, and integrating with existing C++ systems.
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