Loading
Loading
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.
Deep learning drives the most impressive AI breakthroughs of the past decade — from voice assistants to self-driving cars — and is the technology behind most modern AI products.
Google Translate uses deep learning to provide translations between over 100 languages, understanding context and idioms far better than older rule-based systems.
Neural Network
A neural network is a computing system loosely inspired by the structure of the human brain, composed of interconnected nodes (neurons) organised in layers. Each connection has a weight that adjusts during training, allowing the network to learn complex patterns from data.
Machine Learning (ML)
Machine learning is a subset of AI where systems learn from data and improve their performance over time without being explicitly programmed for every scenario. Instead of following hard-coded rules, ML models identify patterns in data and use them to make predictions or decisions.
Convolutional Neural Network (CNN)
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.
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.