matin-ghorbani/perceptron
Implement a perceptron from scratch
This tool helps you explore how a simple artificial neuron, called a perceptron, learns to make predictions from data. You input datasets containing various features (like years of experience and salary or abalone measurements), and it shows you how the perceptron adjusts itself over multiple learning cycles to draw a line that separates or predicts outcomes. This is ideal for students or educators learning about the foundational concepts of machine learning.
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Use this if you are studying the basics of neural networks and want to see a fundamental learning algorithm, the perceptron, in action with clear examples.
Not ideal if you need to build complex, high-performance predictive models for real-world business applications.
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9
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 12, 2024
Commits (30d)
0
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