Efficiency and scalability exploration of an application-specific instruction-set processor for deep convolutional neural networks
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Rheinisch-Westfälische Technische Hochschule Aachen, Dissertation, 2020
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2020
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2021-02253
- URN
-
urn:nbn:de:101:1-2021032907232575852803
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:53 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Bytyn, Andreas
- Ascheid, Gerd
- Leupers, Rainer
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2020
Ähnliche Objekte (12)
Deep electromagnetic exploration
Harmonic analysis of deep convolutional neural networks
Exploration of the scalability of SIMD processing for software defined radio
Deep Convolutional Neural Networks for Biomedical Image Analysis
Theory of Deep Convolutional Neural Networks and Distributed Learning
Reliable Company Logo Detection with Deep Convolutional Neural Networks
Learning cartographic building generalization with deep convolutional neural networks
Automatic electroencephalogram artifact removal using deep convolutional neural networks
Deep Learning of Arrhythmia Analysis Based on Convolutional Neural Network
Deep convolutional recurrent neural network for rare acoustic event detection
Model-based exploration of parallelism in context of automotive multi-processor systems
Epileptic Seizure Detection on an Ultra-Low-Power Embedded RISC-V Processor Using a Convolutional Neural Network
Deep electromagnetic exploration
Harmonic analysis of deep convolutional neural networks
Exploration of the scalability of SIMD processing for software defined radio
Deep Convolutional Neural Networks for Biomedical Image Analysis
Theory of Deep Convolutional Neural Networks and Distributed Learning
Reliable Company Logo Detection with Deep Convolutional Neural Networks
Learning cartographic building generalization with deep convolutional neural networks
Automatic electroencephalogram artifact removal using deep convolutional neural networks
Deep Learning of Arrhythmia Analysis Based on Convolutional Neural Network
Deep convolutional recurrent neural network for rare acoustic event detection
Model-based exploration of parallelism in context of automotive multi-processor systems
Epileptic Seizure Detection on an Ultra-Low-Power Embedded RISC-V Processor Using a Convolutional Neural Network
Deep electromagnetic exploration
Harmonic analysis of deep convolutional neural networks
Exploration of the scalability of SIMD processing for software defined radio
Deep Convolutional Neural Networks for Biomedical Image Analysis
Theory of Deep Convolutional Neural Networks and Distributed Learning
Reliable Company Logo Detection with Deep Convolutional Neural Networks
Learning cartographic building generalization with deep convolutional neural networks
Automatic electroencephalogram artifact removal using deep convolutional neural networks
Deep Learning of Arrhythmia Analysis Based on Convolutional Neural Network
Deep convolutional recurrent neural network for rare acoustic event detection
Model-based exploration of parallelism in context of automotive multi-processor systems