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Perceptron
Models & Architectures
The simplest neural network with a linear decision boundary.
The Perceptron is a single artificial neuron that computes a weighted sum and classifies via a threshold function.
- Characteristics: Can only solve linearly separable problems.
- Training: Perceptron learning rule; converges if data are linearly separable.
- Significance: Historical foundation for modern neural networks.