Fundamentals
Glossary
Deep Learning
Machine learning that uses multi-layered neural networks to learn complex patterns directly from raw data.
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Deep learning is a subset of machine learning built on neural networks with many layers. Each layer transforms its input and passes it on, allowing the network to learn increasingly abstract features. This is why deep learning excels at images, audio and text, where useful patterns are hard to describe with manual rules. The trade-off is that deep models need large amounts of data and compute to train well.
Related terms
Neural Network
A computing model made of connected nodes organised in layers that learn by adjusting the strength of their connections.
Machine Learning
A branch of AI in which models learn patterns from data instead of being explicitly programmed with rules.
Large Language Model
A neural network trained on massive text corpora to predict the next token, enabling it to generate and understand langu...
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