When comparing architectures for sequence mapping, requiring a smaller number of sequential operations is desirable because it enables ___ computation.
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Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Ch.2 Transformer Training and Evaluation - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Complexity and Path Lengths in Self-Attention - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Related
RNN Sequence Processing Complexity
Self-Attention Sequence Processing Complexity
Trade-offs in Sequence Architecture Selection
CNN Sequence Processing Complexity
Match each sequence-to-sequence evaluation parameter or component to its definition.
When comparing architectures for sequence mapping, requiring a smaller number of sequential operations is desirable because it enables ___ computation.
Which architectural evaluation property should the team focus on addressing to resolve this issue, and what specific characteristic should they seek in an alternative architecture?