pruning
- noun
- /ˈpruːnɪŋ/
- Specialized
- Pruning the model by removing unnecessary pruning parameters can significantly improve its inference speed.
- synaptic pruning
Examples
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THE PROFESSOR: "Natural abilities are like natural plants; they need pruning by study."
Fiction book (1997) -
This form of pruning is characterized by the weakening of specific subcortical links, leading to longer path lengths similar to those seen in young adults.
Blog text (4) -
OK, so the key optimization here is pruning the game tree.
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Systematic pruning of local connections with age is likely to result in the weakening of local connections and the formation of more localized and specialized processing nodes.
Blog text (4) -
Synaptic pruning, a process that eliminates extra neurons or synapses to increase neural efficiency, occurs at different stages throughout the lifespan.
Academic text (2015) -
During adolescence, synaptic pruning is most pronounced in the prefrontal cortex, which is responsible for executive function (D'Esposito, Postle, & Rypma, 2000).
Academic text (2010) -
In machine learning, pruning helps reduce the size of a neural network by eliminating redundant connections.
-
Effective pruning can enhance a model's generalization by streamlining its architecture.
Synonyms
Making something simpler to understand
The act of making something as small as possible
A drop in the number or amount of something
Antonyms
Compounds
A tool with a long handle and a curved blade used to cut small tree branches and shrubs
Surface Forms
Morphology
Etymology
Pruning in computing borrows the garden image of prune ('to cut away'): you remove unneeded parts of a computer model so it becomes smaller and faster, so pruning means cutting away parts to improve performance.