Definition
Neural Network
A neural network is a model made of connected layers that transform inputs into predictions, classifications or generated outputs.
Short definition
A neural network is a computational model inspired loosely by connected neurons. In AI, it is a stack of mathematical layers that take an input, transform it step by step and produce an output such as a label, score, text token or image representation.
How it works
Each connection in the network has a weight. During training, the model compares its output with the expected result and adjusts those weights to reduce error. Repeating this across many examples helps the network learn useful patterns.
Example
For image classification, a neural network can receive pixel values and output probabilities such as cat, dog or car. For language, a network can process tokens and predict the next token or classify the intent of a message.
Why it matters
Neural networks are the foundation of modern deep learning. They are flexible and powerful, but also harder to interpret than simple rule-based systems. That is why testing, monitoring and clear evaluation remain essential.