Equation 21 · Part 1 · Shrink It, Train It Small, or Search for It: The Main Strategies for Small Models, Compared
Symbol g
What this part means
g is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Its job in the formula
g is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Full expression→Symbol g→Article meaning
The passage around this formula
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.
Learn the underlying idea
A function assigns an output to each allowed input. The expression f(x) means “apply f to x”.
Open the illustrated functions: inputs become outputs guide →
See this notation across published equations →
Sources cited in the article section
- [7] Neural Architecture Search with Reinforcement Learning ↗
- [8] MnasNet: Platform-Aware Neural Architecture Search for Mobile ↗
- [10] Once for All: Train One Network and Specialize it for Efficient Deployment ↗
- [9] Searching for MobileNetV3 ↗
These citations provide research context; check each source for the exact claim it supports.