MNIST database

Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator

Daniel Neil, Shih‐Chii Liu

Citations: 256 • 2014

Learning to be efficient

Daniel Neil, Michael Pfeiffer, Shih‐Chii Liu

Citations: 82 • 2016

Large-scale object recognition with CUDA-accelerated hierarchical neural networks

Rafael Uetz, Sven Behnke

Citations: 81 • 2009

SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory

Shuangming Yang, Tian Gao, Jiang Wang, Bin Deng, Mostafa Rahimi Azghadi, Tao Lei, B. Linares-Barranco

Citations: 77 • 2022

Hybrid CNN-Transformer Features for Visual Place Recognition

Yuwei Wang, Yuanying Qiu, Peitao Cheng, Junyu Zhang

Citations: 66 • 2022

Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network

Rezoana Bente Arif, Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan, Mahjabin Oishe

Citations: 60 • 2018

Image Classification Using Multiple Convolutional Neural Networks on the Fashion-MNIST Dataset

Olivia Nocentini, Jaeseok Kim, Muhammad Zain Bashir, Filippo Cavallo

Citations: 49 • 2022

Object Recognition in Python and MNIST Dataset Modification and Recognition with Five Machine Learning Classifiers

Yordanka Karayaneva, Diana Hintea

Citations: 46 • 2018

Robustness Guarantees for Bayesian Inference with Gaussian Processes

Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patanè

Citations: 38 • 2019

Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives

Rok Pahič, Andrej Gams, Aleš Ude, Jun Morimoto

Citations: 38 • 2018

Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation

Qian Liu, Garibaldi Pineda García, Evangelos Stromatias, Teresa Serrano‐Gotarredona, Steve Furber

Citations: 37 • 2016

Machine Learning Capabilities of a Simulated Cerebellum

Matthew Hausknecht, Wenke Li, Michael D. Mauk, Peter Stone

Citations: 33 • 2016

Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm

Citations: 31 • 2018

Validation of Random Dataset Using an Efficient CNN Model Trained on MNIST Handwritten Dataset

Adhesh Garg, Diwanshi Gupta, Sanjay Saxena, Parimi Praveen Sahadev

Citations: 28 • 2019

High Performance Accelerator for CNN Applications

Angelos Kyriakos, Vasileios Kitsakis, Alexandros Louropoulos, Elissaios Alexios Papatheofanous, Ioannis Patronas, Dionysios Reisis

Citations: 25 • 2019

An Analytic Layer-wise Deep Learning Framework with Applications to Robotics

Huu-Thiet Nguyen, Chien Chern Cheah, Kar‐Ann Toh

Citations: 23 • 2021

Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot

Ziqiang Pu, Diego Cabrera, Chuan Li, José Valente de Oliveira

Citations: 22 • 2023

Video Pixel Networks

Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu

Citations: 22 • 2016

HMSNN: Hippocampus inspired Memory Spiking Neural Network

Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu

Citations: 20 • 2016

Abstract Layer for LeakyReLU for Neural Network Verification Based on Abstract Interpretation

Omar El Mellouki, Mohamed Ibn Khedher, Mounîm A. El‐Yacoubi

Citations: 20 • 2023