The implementation demonstrates the fundamental concepts of perceptron-based classification, including weight initialization, prediction, training, and plotting decision boundaries. This project is ...

Description: This repository contains a Python implementation of a single-layer perceptron. The perceptron is trained on the Iris dataset to classify flower types based on their features. The project ...

This chapter discusses the working of artificial neural network (ANN) with single layer perceptron and multilayer perceptron along with example dataset. Also traditional linear regression and logistic ...