Loading
Loading
A convolutional neural network is a type of deep learning model specifically designed for processing grid-like data such as images. It uses special layers called convolutional layers that automatically learn to detect visual features like edges, textures, and shapes.
CNNs are the backbone of most modern image recognition and computer vision systems, powering everything from facial recognition to autonomous driving.
Facebook uses CNNs to automatically detect and tag faces in photos, matching them against faces in your friends list.
Computer Vision
Computer vision is a field of AI that enables machines to interpret and understand visual information from images and videos. It uses deep learning models to detect objects, recognise faces, read text, and analyse scenes.
Deep Learning
Deep learning is a subset of machine learning that uses neural networks with many layers to learn complex patterns from large amounts of data. The 'deep' refers to the multiple layers that progressively extract higher-level features from raw input.
Image Recognition
Image recognition is an AI capability that enables machines to identify and categorise objects, people, scenes, or other elements within images. It uses deep learning models — typically convolutional neural networks — trained on large datasets of labelled images.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.