A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks

Slides shown at the KDIR2025 "International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management"

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-27
DOI
https://doi.org/10.5281/zenodo.17453563
Primary Topic
Stochastic Gradient Optimization Techniques
Type
article
Field-Weighted Citation Impact
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article

A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks

Zenodo (CERN European Organization for Nuclear Research)
Stochastic Gradient Optimization Techniques
article

A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks

article en

Abstract

Slides shown at the KDIR2025 "International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management"

Zenodo (CERN European Organization for Nuclear Research)
University of St.Gallen (CH)
Partnerships for the goals
Openalex Percentile: Top 23%
Stochastic Gradient Optimization Techniques
DOIOpen Access PDFOpenAlex
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A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS