Lab experiments of Soft Computing Techniques
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Updated
Apr 5, 2018 - Python
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.
Implementation of the perceptron learning rule for learning a two-input AND gate
Program running single perceptron using perceptron learning rule
A single Perceptron trained on real sonar data — visual + numeric proof of why linear models fail and why Multi-Layer Perceptrons exist.
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