Neural networks are the backbone of many advanced AI systems. Inspired by the structure of the human brain, these algorithms process data in layers to identify patterns, make decisions, and even learn over time. In this beginner-friendly guide, we break down how neural networks work, explore key terms like weights, layers, and activation functions, and discuss real-world applications such as facial recognition, language translation, and predictive analytics. Whether you’re new to AI or curious about its core mechanisms, this article gives you a clear, jargon-free introduction to one of the most fascinating areas in modern technology.
