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GlossaryDeep LearningTransformer Networks

Transformer Networks

[trænsˈfɔːmə ˈnɛtwɜːks]
Deep Learning
Last updated: December 9, 2024

Definition

Neural network architecture that uses self-attention mechanisms to process sequential data

Detailed Explanation

Transformers use self-attention mechanisms to weigh the importance of different parts of the input sequence when computing representations. They process entire sequences in parallel and capture long-range dependencies effectively.

Use Cases

Language modeling, machine translation, text generation, BERT, GPT

Related Terms

BERT

Bidirectional language model that revolutionized natural language processing tasks

Deep Learning

Consistency Models

Generative models mapping noise to data, often enabling faster high-quality generation than diffusion models.

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Generative Adversarial Networks

A framework where two neural networks compete to generate realistic synthetic data.

Deep Learning