Results 291 to 300 of about 370,356 (314)

Fissionable Deep Neural Network

2016
Model combination nearly always improves the performance of machine learning methods. Averaging the predictions of multi-model further decreases the error rate. In order to obtain multi high quality models more quickly, this article proposes a novel deep network architecture called “Fissionable Deep Neural Network”, abbreviated as FDNN. Instead of just
Dongxu Tan, Junmin Wu, Huanxin Zheng, Yan Yin, Yaxin Liu   +4 more
openaire   +1 more source

Deep Learning with Random Neural Networks

2016 International Joint Conference on Neural Networks (IJCNN), 2016
This paper develops multi-layer classifiers and auto-encoders based on the Random Neural Network. Our motivation is to build robust classifiers that can be used in systems applications such as Cloud management for the accurate detection of states that can lead to failures.
Erol Gelenbe, Yongha Yin
openaire   +1 more source

Deep Neural Networks-II

2019
We will implement a multi-layered neural network with different hyperparameters Hidden layer activations Hidden layer nodes Output layer activation Learning rate Mini-batch size Initialization Value of \(\beta \) Values of \(\beta _1\) Value of \(\beta _2\) Value of \(\epsilon \) Value of keep_prob
openaire   +1 more source

On the Singularity in Deep Neural Networks

2016
In this paper, we analyze a deep neural network model from the viewpoint of singularities. First, we show that there exist a large number of critical points introduced by a hierarchical structure in the deep neural network as straight lines. Next, we derive sufficient conditions for the deep neural network having no critical points introduced by a ...
openaire   +1 more source

Random vector functional link neural network based ensemble deep learning

Pattern Recognition, 2021
Qiushi Shi, Rakesh Katuwal, Ponnuthurai Nagaratnam Suganthan   +2 more
exaly  

Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System

Information Fusion, 2023
Ankit Thakkar, Ritika Lohiya
exaly  

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges

IEEE Transactions on Knowledge and Data Engineering, 2020
David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng   +2 more
exaly  

A novel image encryption algorithm with deep neural network

Signal Processing, 2022
exaly  

A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing

Journal of Manufacturing Systems, 2021
Cheng-Geng Huang, Hong-Zhong Huang, Weiwen Peng   +2 more
exaly  

A survey of deep neural network architectures and their applications

Neurocomputing, 2017
Weibo Liu, Zidong Wang, Nianyin Zeng
exaly