Verified claim · AI-ML · 100% confidence
Batch Normalization introduced in paper: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (Ioffe & Szegedy, 2015).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 56c451642ab41e68
Structured fields
- Subject
- Batch Normalization
- Predicate
introduced_in_paper- Object
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (Ioffe & Szegedy, 2015)
- Confidence
- 100%
- Tags
- batch-normalization · regularization · training · foundational · 2015 · icml · google
Sources (2)
[1] preprint · arXiv (Ioffe, Szegedy) · 2015-02-11
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift“We refer to this phenomenon as internal covariate shift, and address the problem by normalizing layer inputs. Our method draws its strength from making normalization a part of the model architecture and performing the normalization for each training mini-batch.”
[2] peer reviewed · PMLR / ICML · 2015-07-07
Batch Normalization (ICML 2015)
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Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/56c451642ab41e68.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/56c451642ab41e68.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Batch Normalization introduced in paper: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (Ioffe & Szegedy, 2015)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/56c451642ab41e68.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Batch Normalization introduced in paper: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (Ioffe & Szegedy, 2015)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_batch_normalization_fact() -> dict:
"""Fetch the verified SourceScore claim for Batch Normalization."""
r = httpx.get("https://sourcescore.org/api/v1/claims/56c451642ab41e68.json")
return r.json()