Understanding Multiple Inputs in Neural Networks - With Python Examples

This neural network tutorial demonstrates multi-input processing using an Iris flower classification example. With Petal Width and Sepal Width as inputs, the network predicts flower species through hidden layer calculations. The article walks through calculating hidden node coordinates, generating data points, and creating 3D surface visualizations to show how the network processes two-dimensional input data.