What is the architecture of a C++ machine learning library?
An example of an AI chatbot conversation about C++ machine learning library architecture.
What is the architecture of a C++ machine learning library?
The architecture typically includes modules for data handling, model training, and evaluation, often using templates for flexibility.
Can you explain the data handling module in more detail?
Sure! The data handling module manages data loading, preprocessing, and augmentation, ensuring data is ready for training.
What design patterns are commonly used in these libraries?
Common design patterns include Factory for object creation, Strategy for algorithms, and Observer for monitoring training progress.
How do I integrate a C++ ML library with Python?
You can use bindings like pybind11 or SWIG to create a bridge between C++ and Python, allowing seamless integration.
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