The Effects of Hyperparameters on SGD Training of Neural Networks

12 August 2015

Papers citing "The Effects of Hyperparameters on SGD Training of Neural Networks"

9 / 9 papers shown

Title
Exploring the Optimized Value of Each Hyperparameter in Various Gradient Descent Algorithms Abel C. H. Chen 35 2 0 23 Dec 2022
Evolution of Activation Functions for Deep Learning-Based Image Classification Raz Lapid Moshe Sipper 24 11 0 24 Jun 2022
GSA-DenseNet121-COVID-19: a Hybrid Deep Learning Architecture for the Diagnosis of COVID-19 Disease based on Gravitational Search Optimization Algorithm Dalia Ezzat A. Hassanien Hassan Aboul Ella 12 55 0 09 Apr 2020
A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification Yang Liu Jianpeng Zhang Chao Gao Jinghua Qu Lixin Ji 27 3 0 17 Aug 2019
A Resizable Mini-batch Gradient Descent based on a Multi-Armed Bandit S. Cho Sunghun Kang Chang D. Yoo 30 1 0 17 Nov 2017
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 26 18 0 20 Dec 2016
FireCaffe: near-linear acceleration of deep neural network training on compute clusters F. Iandola Khalid Ashraf Matthew W. Moskewicz Kurt Keutzer 19 302 0 31 Oct 2015
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification Ye Zhang Byron C. Wallace AAML 42 1,189 0 13 Oct 2015
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study Suyog Gupta Wei Zhang Fei Wang 9 170 0 14 Sep 2015