In this notebook, we will construct simple perceptron models. We'll start by implementing a perceptron model, and seeing how it behaves. We'll then outline the steps to train a perceptron to classify ...

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

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 ...