Attention Mechanism
An Attention Mechanism is a technique in neural networks that mimics cognitive attention, allowing the model to focus on specific parts of the input data when generating an output. It enables models to calculate the contextual relationships between distant elements in a sequence.
Frequently Asked Questions
What is Self-Attention?▼
Self-attention is a specific type of attention where the model relates different positions of a single sequence to compute a representation of the same sequence.
How did attention improve neural networks?▼
It allowed models to process long-context relationships without the information decay seen in traditional recurrent neural networks.
Quick Facts
- CategoryNeural Architectures
- Key ApplicationMachine translation, speech recognition, and visual transformer processing
Coverage Trend12 Weeks
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