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The structure of KANs is similar to that of conventional neural networks. The weights do not have a fixed numerical value, however. Instead they correspond to a function: w (x).

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works.

Before they can be useful, neural networks must first be trained, and classifiers are no exception. During training, the network processes a vast catalog of examples and repeatedly adjusts the ...