Aika (Artificial Intelligence for Knowledge Acquisition) is an experimental AI framework that offers a new approach to neural network design. Originally implemented in Java, Aika has been migrated to a C++ core with Python bindings, combining high performance with Python’s ease of use. Similar to PyTorch, Aika allows you to **define the functional graph of a neural network’s mathematical model in Python while executing the heavy computations in C++**. This means you can construct your model using intuitive Python code, and under the hood Aika leverages efficient C++ for execution.
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