In the world of Artificial Intelligence (AI) and Machine Learning (ML), Neural Networks stand as one of the most powerful and fascinating concepts. Inspired by the structure of the human brain, neural networks are computational models designed to recognize patterns and make intelligent decisions.A neural network consists of layers of interconnected nodes (called neurons) that process data through mathematical operations. These networks “learn” by adjusting the connections based on input data and desired output — a process known as training. Over time, they become capable of identifying complex relationships that traditional algorithms might miss.Neural networks are the backbone of many modern technologies such as:
At their core, they help machines “learn” from data — moving us closer to creating systems that can think, reason, and adapt.📘 Full Document Attached Below:
A detailed document titled “Introduction to Neural Networks” has been prepared by our team member Upayan, providing in-depth explanations, examples, and diagrams to help you understand how neural networks function, their types, and their applications in real-world scenarios.
