devleo-m/ia-perceptron
Basic implementation of a Perceptron in Python. The Perceptron is trained with input data, adjusting weights and bias to predict outputs based on new values.
Implements the Perceptron algorithm with configurable weight initialization and iterative training cycles to converge on classification boundaries. The model supports custom test inputs via parameter modification, enabling evaluation on new data points after training completes. Built as a standalone Python script with no external dependencies, making it suitable for educational exploration of single-layer neural network fundamentals.
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Python
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MIT
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Last pushed
Dec 24, 2023
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