Lab experiments of Soft Computing Techniques
This repository contains basic neural network design concepts like hebbian learning, perceptron rule, filtered learning
Understanding the simplest Perceptron Model
Perceptron-learning-rule
The project is about the implementation of Perceptron Learning rule to draw a decision boundary between the points belonging to different classes.
ANN in Python for understanding how ANNs work.
Program running single perceptron using perceptron learning rule
Implementation of the perceptron learning rule for learning a two-input AND gate
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