[KongchangAI]
Unverified60% confidenceFactExact time

Work by Shwartz-Ziv and Tishby in 2017 showed that deep network training has two phases: first fitting the data (increasing mutual information with the input), then compressing the representation (reducing mutual information with the input while preserving mutual information with the output).

2
Sources
60%
Confidence
Long-term
Relevance
8/8/2026
First Seen

Sources

Related Claims

Cite This Claim

Stable URI
https://kongchang.com/claim/707890
API
curl https://kongchang.com/api/v1/knowledge/claims/707890
MCP
get_claim(id=707890)