1.2 KiB
1.2 KiB
id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack
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| wiki-2026-0508-non-linear-activation-functions | Non-linear Activation Functions | 10_Wiki/Topics | duplicate | Leaky-ReLU-and-Activations |
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Leaky-ReLU-and-Activations | A | 0.9 | redirected |
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2026-05-10 | pending |
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REDIRECT → Leaky-ReLU-and-Activations
이 문서는 Leaky-ReLU-and-Activations 로 통합되었다. ReLU/LeakyReLU/PReLU/ELU/GELU/SiLU(Swish)/Mish/SwiGLU 등 비선형 활성화 함수 전반은 정식 문서를 참고하라.
요약
- 비선형성이 신경망 표현력의 핵심.
- 2026 표준: Transformer는 GELU/SwiGLU, CNN은 SiLU/Mish, classic은 ReLU 변형.
🔗 Graph
- 부모: Leaky-ReLU-and-Activations (canonical)
- 인접: Neural Networks, Backpropagation, Vanishing Gradient
🕓 Changelog
- 2026-05-08 Phase 1 자동 생성
- 2026-05-10 Manual cleanup — REDIRECT 처리, 정식 문서로 통합