AI & Technology

What Is a Neural Network?

A neural network is a computing model loosely inspired by the brain, made of layers of connected units called neurons. Each connection has a weight; the network processes input by passing numbers through the layers, and training adjusts the weights so that its outputs become more accurate.

How It Learns

During training, the network compares its output with the correct answer, measures the error, and uses an algorithm called backpropagation to adjust its weights slightly to reduce that error. Repeating this over many examples gradually improves its accuracy.

Layers

An input layer receives data, hidden layers transform it, and an output layer produces the result. Networks with many hidden layers are called deep neural networks.

🧮 Calculate It Yourself

Put Neural Network into practice with these free calculators — no sign-up, nothing stored.

📊 Average Calculator (Mean, Median, Mode) Get the mean, median, mode, range, and sum of any list of numbers. Calculate → % Percentage Calculator Three calculators in one: percentage of a number, percentage of total, and percentage change. Calculate →

🔗 Related Terms

Deep Learning Model Parameters (AI) Machine Learning Training Data

More AI & Technology Terms

📖 Browse all glossary terms or explore all free calculators.

Last updated: September 29, 2026. This definition is for general educational purposes only. It is not financial, investment, tax, legal, or medical advice, and it does not recommend any product or course of action. For decisions about your own situation, consult a qualified professional.