How can I deploy a C++ machine learning library?
To deploy a C++ machine learning library, you need to compile your code, set up the environment, and create an API.
What tools do I need for compiling and setting up the environment?
You can use tools like CMake for building your project and Docker for creating a consistent deployment environment.
Can I integrate it with Python or other languages?
Yes, you can create bindings using tools like pybind11 to integrate your C++ library with Python.
What are some common challenges in deployment?
Common challenges include dependency management, ensuring compatibility across platforms, and optimizing performance.
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