What is Neural Network?
A computing system inspired by the human brain, made up of layers of connected nodes that learn patterns from data.
Why It Matters
Neural networks are the foundation of modern AI, powering everything from image recognition to language understanding.
Real-World Example
A neural network can learn to recognise cats in photos by studying thousands of labelled images.
“Understanding terms like Neural Network matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Deep Learning
A type of machine learning that uses neural networks with many layers to learn complex patterns.
Convolutional Neural Network (CNN)
A type of neural network designed to process grid-like data such as images by detecting patterns and features.
Recurrent Neural Network (RNN)
A neural network designed for sequential data that remembers information from previous steps.
Activation Function
A mathematical function in a neural network that decides whether a neuron should pass its signal forward.
From definition to deployment
Knowing the term is step one. Using it in something real is the rest.