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docs: finalized wiki integrity maintenance (v3.0 standard) - pruned 1400+ stubs and fixed 11k+ ghost links

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Antigravity Agent
2026-05-02 09:18:34 +09:00
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commit 6445fcc05b
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10_Wiki/Topics_GD/Dense vs Sparse Neural Networks.md
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---
id: [[P-Reinforce]]-AI-DENSE-SPARSE
id: [[P-Reinforce|P-Reinforce]]-AI-DENSE-SPARSE
category: "10_Wiki/💡 Topics/AI"
confidence_score: 0.98
tags: [Neural Networks, Dense, Sparse, MoE, [[Efficiency]]]
tags: [Neural Networks, Dense, Sparse, MoE, [[Efficiency|Efficiency]]]
last_reinforced: 2026-04-20
---
@@ -23,5 +23,5 @@ last_reinforced: 2026-04-20
- 희소 행렬 연산은 하드웨어(GPU) 가속기에서 효율적으로 처리하기가 까다로운 면이 있다. 따라서 소프트웨어적인 '희소화'와 하드웨어의 '가속 효율' 사이의 균형점을 찾는 것이 현대 AI 공학의 최대 화두다.
## 🔗 지식 연결 (Graph)
- Related: Differentiable-Programming , Deep-[[Reinforcement-Learning]]
- Foundation: [[Information Theory]]
- Related: Differentiable-Programming , Deep-[[Reinforcement-Learning|Reinforcement-Learning]]
- Foundation: [[Information Theory|Information Theory]]