- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-1115
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Improving deep neural network design with new text data representations ; volume:4 ; number:1 ; day:28 ; month:3 ; year:2017 ; pages:1-16 ; date:12.2017
Journal of Big Data ; 4, Heft 1 (28.3.2017), 1-16, 12.2017
- Classification
-
Informatik
- Creator
-
Prusa, Joseph D.
- Contributor
-
Khoshgoftaar, Taghi M.
SpringerLink (Online service)
- DOI
-
10.1186/s40537-017-0065-8
- URN
-
urn:nbn:de:1111-201704154336
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Prusa, Joseph D.
- Khoshgoftaar, Taghi M.
- SpringerLink (Online service)
Other Objects (12)
Understanding memory representations through deep neural networks
A new deep neural network for forecasting: Deep dendritic artificial neural network
On layer-wise representations in deep neural networks
Compact and efficient representations of deep neural networks
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
Neural network representations of multiphase Equations of State
Implicit neural representations for deep drawing and joining experiments
Learning representations of atomistic systems with deep neural networks
Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge
Multi-task deep neural network with shared hidden layers: breaking down the wall between emotion representations
Image Representations in Deep Neural Networks and their Applications to Neural Data Modelling
DeepPrecip: a deep neural network for precipitation retrievals
Understanding memory representations through deep neural networks
A new deep neural network for forecasting: Deep dendritic artificial neural network
On layer-wise representations in deep neural networks
Compact and efficient representations of deep neural networks
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
Neural network representations of multiphase Equations of State
Implicit neural representations for deep drawing and joining experiments
Learning representations of atomistic systems with deep neural networks
Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge
Multi-task deep neural network with shared hidden layers: breaking down the wall between emotion representations
Image Representations in Deep Neural Networks and their Applications to Neural Data Modelling
DeepPrecip: a deep neural network for precipitation retrievals
Understanding memory representations through deep neural networks
A new deep neural network for forecasting: Deep dendritic artificial neural network
On layer-wise representations in deep neural networks
Compact and efficient representations of deep neural networks
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
Neural network representations of multiphase Equations of State
Implicit neural representations for deep drawing and joining experiments
Learning representations of atomistic systems with deep neural networks
Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge
Multi-task deep neural network with shared hidden layers: breaking down the wall between emotion representations
Image Representations in Deep Neural Networks and their Applications to Neural Data Modelling