Artificial Neural Networks (ANNs) are computing systems inspired by how the human brain works. Instead of one large brain, an ANN has many tiny processing units called neurons that work together to recognize patterns and learn from data 🧠 1. Inspiration from the Brain Just like the brain has interconnected neurons, ANNs have nodes (artificial neurons) connected in a network. These connections help the system learn from examples, rather than just follow instructions. 🔢 2. Main Structure of an ANN An ANN is typically divided into layers: Input Layer – Receives raw data (like pixels of an image). Hidden Layers – Perform calculations and extract patterns. Output Layer – Gives the final answer (like “cat” or “dog”). Each layer is connected to the next using links that have values called weights. These weights determine how important each connection is. ⚙️ 3. How It Works (Step by Step) Data Enters: You feed the network inputs (e.g., numbers, images).…