ScholarGate
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Machine learning

Utafutaji wa Usanifu wa Neural

Utafutaji wa Usanifu wa Neural (NAS), ulioanzishwa na Zoph na Le mwaka 2017, huendesha kwa kiotomatiki maamuzi ya usanifu kama vile kina cha mtandao, upana, na muundo wa muunganisho badala ya kuubuni kwa mikono. Mbinu zinazoongoza katika uga huu ni pamoja na DARTS, ENAS, na Once-for-All.

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Vyanzo

  1. Zoph, B. & Le, Q.V. (2017). Neural Architecture Search with Reinforcement Learning. ICLR. link
  2. Liu, H. et al. (2019). DARTS: Differentiable Architecture Search. ICLR. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Neural Architecture Search (NAS). ScholarGate. https://scholargate.app/sw/deep-learning/neural-architecture-search

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Imerejelewa na

ScholarGateNeural Architecture Search (Neural Architecture Search (NAS)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/neural-architecture-search · Seti ya data: https://doi.org/10.5281/zenodo.20539026