Neural networks are the backbone of modern artificial intelligence (AI), enabling machines to process complex data, recognize patterns, and make intelligent decisions. From self-driving cars to voice assistants , neural networks power some of the most groundbreaking AI applications today. In this article, we will explore how neural networks work , their architecture, types, and real-world applications. What is a Neural Network? A neural network is a computational model inspired by the structure and function of the human brain. It consists of layers of interconnected nodes (neurons) that process and analyze data. Neural networks are a fundamental part of machine learning and deep learning , allowing computers to learn from data without explicit programming. Basic Structure of a Neural Network Neural networks are composed of three primary layers: 1. Input Layer The first layer receives raw data (e.g., images, text, numbers). Each input neuron represents a single feature (e....
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