Master the Basics: Building a Simple Perceptron Neural Network 🤖

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.