Artificial Neural Network – Perceptron Algorithm by Deeba Kannan
In this foundational lecture, I explined the Perceptron Algorithm, one of the earliest and most important algorithms in the field of Artificial Neural Networks (ANN). This session is designed to help you understand the mathematical logic, working principle, and application of perceptron learning for binary classification tasks.
Topics Covered:
Introduction to the Perceptron Model
Perceptron Learning Rule
Step-by-step explanation of the Perceptron Algorithm
Weight initialization, net input computation, and activation
Error correction and weight update mechanism
Convergence and limitations of single-layer perceptrons
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