Daniel-xsy/PatternRecognition
Pattern recognition algorithm implement of Pattern Recognition Course in HUST, AIA
This collection of algorithms helps students and researchers understand and apply fundamental pattern recognition techniques. It provides implementations of core methods like perceptrons, linear and logistic regression, and neural networks, allowing users to input data and see how these algorithms categorize and predict outcomes. This is designed for those studying or applying machine learning concepts in an academic setting.
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Use this if you are a student or researcher looking for practical implementations of classic pattern recognition algorithms to learn from or use as a reference.
Not ideal if you need a robust, production-ready machine learning library for complex real-world applications.
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Oct 14, 2021
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