How can I deploy a machine learning model using C++?
To deploy a machine learning model in C++, you can use libraries like TensorFlow C++ API or ONNX Runtime.
What are the steps involved in using TensorFlow C++ API?
First, you'll need to install TensorFlow C++. Then, load your model, prepare your input data, and run inference.
Can I use pre-trained models with C++?
Yes, you can use pre-trained models by exporting them from Python and loading them in your C++ application.
What are the performance considerations for C++ deployment?
Performance considerations include memory management, optimization of inference speed, and efficient data handling.
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