Attention Mechanism

Browse all content tagged with Attention Mechanism

Glossary

Transformer

A transformer model is a type of neural network specifically designed to handle sequential data, such as text, speech, or time-series data. Unlike traditional models like RNNs and CNNs, transformers utilize an attention mechanism to weigh the significance of elements in the input sequence, enabling powerful performance in applications like NLP, speech recognition, genomics, and more.

Transformer Neural Networks Attention Mechanism +2
• 3 min read

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