Symbol g
g is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →Published equation contexts
where is a search space of candidate architectures designed in advance by the researchers, g(a) some measured deployment cost of architecture a , and B a budget the target device imposes. Every term in that equation is a documented design choice, and the choice of g turns out to be where the edge-specific literature does its most important work.
g is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →a is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →Read this expression with the definitions, units, and assumptions supplied by the article.
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 21 · Edge AI & Electronics
This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.
where is a search space of candidate architectures designed in advance by the researchers, g(a) some measured deployment cost of architecture a , and B a budget the target device imposes. Every term in that equation is a documented design choice, and the choice of g turns out to be where the edge-specific literature does its most important work.
Equation guide → · Article →Equation 25 · Edge AI & Electronics
This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.
The first response changes what g(a) measures. Tan and colleagues built MnasNet’s rationale explicitly around the observation that operation counts are a poor stand-in for real efficiency, so the search “directly measures real-world inference latency by executing the model on mobile phones,” and reported an architecture 1.8x faster than MobileNetV2 at 0.5% higher accuracy, and 2.3x faster than NASNet at 1.2% higher accuracy [ 8 ] . That is a harder objective to satisfy than a proxy count, because it cannot be gamed by an architecture that is cheap on paper and slow in practice. The second response changes how often the expensive part of the search has to be paid at all. Cai and colleagues…
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