transformer architecture
A transformer architecture refers to a type of deep learning model that utilizes self-attention mechanisms, enabling it to effectively capture relationships and dependencies within input data without relying on sequential processing like recurrent neural networks. This architecture is commonly employed in tasks such as machine translation, text generation, and natural language understanding.
Requires login.
Related Concepts (1)
Similar Concepts
- bidirectional transformers
- computational linguistics with transformer models
- evolutionary architecture
- fractal architecture
- graph transformer networks
- hierarchical architecture
- image captioning using transformers
- mirrored architecture
- neural network architecture
- processor architecture
- reverse engineering of architectural structures
- traditional architecture
- transformer layers
- transformer models
- transformer-xl