Building the Simplest Neural Network: A Perceptron Explained

Learn the simplest form of a neural network: the perceptron. We'll explore how a single neuron, using a basic step activation function, can solve a fundamental logic problem. Using just one neuron with two inputs, we demonstrate how to compute an AND gate, showing how neural networks process binary outcomes with weighted inputs and a bias term. You’ll learn: * What a Perceptron is: The most basic neural network architecture. * How AND Gates Work in Neural Networks: Applying a perceptron to achieve binary logic operations. * Core Neural Network Concepts: Weighted sums, biases, activation functions, and feedforward. This walkthrough is perfect for beginners in machine learning and deep learning, setting the foundation for understanding more complex networks.