Fundamentals
Deep Learning
Neural networks with multiple layers for complex pattern recognition
What is Deep Learning?
Deep Learning is a subset of machine learning that uses artificial neural networks with multiple layers (hence "deep") to progressively extract higher-level features from raw input. Each layer learns to transform its input data into a slightly more abstract and composite representation.
Key Points
1
Uses multi-layered neural networks
2
Automatically learns feature hierarchies
3
Excels at processing unstructured data
4
Powers modern AI breakthroughs
Practical Examples
GPT language models
Computer vision systems
Speech recognition
Autonomous vehicles