How can I deploy a TensorFlow model using C++?
An example of an AI chatbot conversation about deploying TensorFlow models with C++.
How can I deploy a TensorFlow model using C++?
To deploy a TensorFlow model in C++, you need to use the TensorFlow C++ API. First, export your model to the SavedModel format.
What are the steps to export my model to SavedModel format?
You can export your model using the tf.saved_model.save function in Python. This will create a directory with the model files.
Once I have the SavedModel, how do I load it in C++?
In C++, use the tensorflow::SavedModelBundle class to load the model. You'll need to specify the model path and the session options.
Are there any specific dependencies I need to install for C++?
Yes, you'll need to install TensorFlow C++ libraries and ensure your build system is set up to link against them.
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