Recurrent Neural Networks (RNNs): Architectures, Training Tricks, and Introduction to Influential Research.
- DOI
- 10.1007/978-1-0716-3195-9_4
- Published
- 2023
- Container
- Not recorded
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1007/978-1-0716-3195-9_4,
title = {Recurrent Neural Networks (RNNs): Architectures, Training Tricks, and Introduction to Influential Research.},
author = {Colliot O and Das S and Tariq A and Santos T and Kantareddy SS and Banerjee I},
year = {2023},
doi = {10.1007/978-1-0716-3195-9_4},
url = {https://doi.org/10.1007/978-1-0716-3195-9_4}
}RIS
TY - JOUR TI - Recurrent Neural Networks (RNNs): Architectures, Training Tricks, and Introduction to Influential Research. AU - Colliot O AU - Das S AU - Tariq A AU - Santos T AU - Kantareddy SS AU - Banerjee I PY - 2023 DO - 10.1007/978-1-0716-3195-9_4 UR - https://doi.org/10.1007/978-1-0716-3195-9_4 ER -
APA
O, C., S, D., A, T., T, S., SS, K., & I, B. (2023). Recurrent Neural Networks (RNNs): Architectures, Training Tricks, and Introduction to Influential Research.. https://doi.org/10.1007/978-1-0716-3195-9_4
Source records
- pubmed · retrieved 2026-09-25T08:42:37.031Z