Deep Learning
A subset of machine learning using artificial neural networks with multiple layers to model complex patterns.
In-depth explanation
Deep learning uses neural networks with many hidden layers (hence "deep") to progressively extract higher-level features from raw input. For example, in image recognition, lower layers might identify edges, while deeper layers identify complex shapes and objects. Deep learning has revolutionized computer vision, NLP, and many other fields.
Examples
Related terms
More in AI Fundamentals
Artificial Intelligence (AI)
The simulation of human intelligence processes by computer systems, including learning, reasoning, and self-correction.
Machine Learning
A subset of AI where systems automatically learn and improve from experience without being explicitly programmed.
Algorithm
A set of step-by-step instructions or rules followed to solve a problem or perform a computation.
Model
A mathematical representation learned from data that can make predictions or decisions on new, unseen data.
Training
The process of teaching a machine learning model to make predictions by exposing it to data and adjusting its parameters.
Inference
The process of using a trained model to make predictions on new, unseen data.
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