Perceptron from Scratch

The simplest possible neural network — built from scratch so you can see exactly how it thinks.

If you've ever wondered "how does a neural network actually learn?" — this project answers that question with the most minimal, readable code possible.

No TensorFlow. No PyTorch. No magic. Just Python.

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What's a Perceptron?

Think of it like a student taking a true/false quiz.

1. It makes a guess
2. It checks if it was right or wrong
3. It adjusts so it does better next time
4. It repeats until it gets every answer right

That's literally it. And it's the same core idea behind every AI model you've ever heard of.

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What Does It Learn?

This perceptron learns logic gates — simple rules like:

Gate	Rule
AND	Output 1 only if both inputs are 1
OR	Output 1 if either input is 1
NOR	Output 1 only if both inputs are 0

Three pre-trained models are included, ready to use.

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Try It Yourself

Want to watch it learn in real time?

python Perceptron_Training_.py

You'll see every guess, every mistake, and every correction as it trains.

Want to test a pre-trained model?

python Perceptron_Testing_.py
# When prompted, enter: AND_Gate_Model / OR_Gate_Model / NOR_Gate_Model

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The best way to understand neural networks is to build one yourself.