Convergence of stochastic gradient descent in deep neural network

DOI10.1007/S10255-021-0991-2zbMath1468.90073OpenAlexW3118717320MaRDI QIDQ2025203

Bai-cun Zhou, Tian-de Guo, Cong-Ying Han

Publication date: 11 May 2021

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-021-0991-2

zbMATH Keywords

convergencestochastic gradient descentdeep neural network

Mathematics Subject Classification ID

Analysis of algorithms (68W40) Artificial neural networks and deep learning (68T07) Convex programming (90C25) Large-scale problems in mathematical programming (90C06) Stochastic programming (90C15)

Uses Software

• MNIST

Cites Work

• Large-Scale Machine Learning with Stochastic Gradient Descent
• Optimization Methods for Large-Scale Machine Learning
• Some methods of speeding up the convergence of iteration methods

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