Mamba (Muundo wa Nafasi ya Hali)
Mamba ni muundo wa modeli wa mlolongo ulioanzishwa na Gu na Dao mwaka 2023 ambao hupata ugumu wa mstari huku ukidumisha utendaji thabiti kwenye majukumu ya uundaji wa lugha. Kwa kuchanganya miundo ya nafasi ya hali na uchaguzi tegemezi wa pembejeo, Mamba hushughulikia ugumu wa mraba wa transfoma huku ikidumisha uwezo wa uundaji.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Gu, A., & Dao, C. (2023). Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.08956. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Mamba: Linear-Time Sequence Modeling with Selective State Spaces. ScholarGate. https://scholargate.app/sw/deep-learning/mamba
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Mifumo ya Uenezaji IliyofichwaUjifunzaji wa Kina↔ compare
- Autoenkoda ZilizofunikwaUjifunzaji wa Kina↔ compare
- Vision MambaUjifunzaji wa Kina↔ compare
- Transformer wa MaonoUjifunzaji wa Kina↔ compare
Imerejelewa na
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