[KongchangAI]
Unverified50% confidenceFactExact time

The paper proves that, under appropriate network depth and width configurations, the convergence rate of dense ReLU networks can overcome the curse of dimensionality, achieving polynomial-level sample complexity.

1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen

Sources

Related Entities

Related Claims

Cite This Claim

Stable URI
https://kongchang.com/claim/1023496
API
curl https://kongchang.com/api/v1/knowledge/claims/1023496
MCP
get_claim(id=1023496)