Comparison of non-linear activation functions for deep neural networks on MNIST classification task

8 April 2018

Papers citing "Comparison of non-linear activation functions for deep neural networks on MNIST classification task"

14 / 14 papers shown

Title
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints Peter Röseler Oliver Schaudt Helmut Berg Christian Bauckhage Matthias Koch 34 0 0 09 May 2025
Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation Kangcheng Liu 19 14 0 28 Nov 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 37 71 0 06 Sep 2022
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario D. L. Manna Alex Vicente-Sola Paul Kirkland Trevor Bihl G. D. Caterina 30 21 0 28 Jun 2022
CGAN-EB: A Non-parametric Empirical Bayes Method for Crash Hotspot Identification Using Conditional Generative Adversarial Networks: A Simulated Crash Data Study M. Zarei B. Hellinga P. Izadpanah CML 11 11 0 13 Dec 2021
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs Sameera Ramasinghe Simon Lucey 22 119 0 30 Nov 2021
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark S. Dubey S. Singh B. B. Chaudhuri 41 643 0 29 Sep 2021
MILR: Mathematically Induced Layer Recovery for Plaintext Space Error Correction of CNNs Jonathan Ponader S. Kundu Yan Solihin 34 8 0 28 Oct 2020
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models N. Kulathunga N. R. Ranasinghe D. Vrinceanu Zackary Kinsman Lei Huang Yunjiao Wang 6 4 0 14 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness Mohammadamin Tavakoli Forest Agostinelli Pierre Baldi AAML FAtt 36 39 0 16 Jun 2020
A survey on modern trainable activation functions Andrea Apicella Francesco Donnarumma Francesco Isgrò R. Prevete 36 365 0 02 May 2020
On the Impact of the Activation Function on Deep Neural Networks Training Soufiane Hayou Arnaud Doucet Judith Rousseau ODL 9 195 0 19 Feb 2019
A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks Alberto Marchisio Muhammad Abdullah Hanif Semeen Rehman Maurizio Martina Muhammad Shafique 27 11 0 27 Oct 2018