What is Convolutional Neural Network (CNN)?
A type of neural network designed to process grid-like data such as images by detecting patterns and features.
Why It Matters
CNNs are the backbone of image recognition, enabling everything from photo organisation to medical imaging.
Real-World Example
A CNN identifies a cat in a photo by first detecting edges, then shapes, then combining them into recognisable features.
“Understanding terms like Convolutional Neural Network (CNN) 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
Neural Network
A computing system inspired by the human brain, made up of layers of connected nodes that learn patterns from data.
Deep Learning
A type of machine learning that uses neural networks with many layers to learn complex patterns.
Computer Vision
The field of AI that enables computers to understand and interpret images and video.
Learn More at buildDay Melbourne
Want to understand these concepts hands-on? Join our one-day workshop and build a real web application from scratch.
Related Terms
Neural Network
A computing system inspired by the human brain, made up of layers of connected nodes that learn patterns from data.
Deep Learning
A type of machine learning that uses neural networks with many layers to learn complex patterns.
Computer Vision
The field of AI that enables computers to understand and interpret images and video.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.