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Neural Pattern Recognition

(Harvard University - Joyce Yang)

- Overview

Neural pattern recognition is a model that uses artificial neural networks. These networks learn complex nonlinear input-output relations and adapt to the data. They can learn to recognize patterns in various data types, such as textual, visual, or audio.



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