A survey of deep neural network architectures and their applications
Weibo Liu, Zidong Wang, Xiaohui Liu, Nianyin Zeng, Yurong Liu, Fuad E. Alsaadi
No abstract in the source record.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- State-of-the-art in artificial neural network applications: A survey→A survey of deep neural network architectures and their applicationsLegacy edge — source detail unavailable
- Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc…→A survey of deep neural network architectures and their applicationsLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→A survey of deep neural network architectures and their applicationsLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→A tutorial on hidden Markov models and selected applications in speech recognitionLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Learning Deep Architectures for AILegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→A unified architecture for natural language processingLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Learning Deep Architectures for AILegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Pattern recognition and machine learningLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Deep learning applications and challenges in big data analyticsLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
- A survey of deep neural network architectures and their applications→Auto-association by multilayer perceptrons and singular value decompositionLegacy edge — source detail unavailable
- Acoustic Modeling Using Deep Belief Networks→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
- Acoustic Modeling Using Deep Belief Networks→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
- Acoustic Modeling Using Deep Belief Networks→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Acoustic Modeling Using Deep Belief Networks→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→Auto-association by multilayer perceptrons and singular value decompositionLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Pattern recognition and machine learningLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Reducing the Dimensionality of Data with Neural Networks→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Deep learning applications and challenges in big data analytics→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
- Deep learning applications and challenges in big data analytics→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep learning applications and challenges in big data analytics→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
- Deep learning applications and challenges in big data analytics→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
- Deep learning applications and challenges in big data analytics→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Deep learning applications and challenges in big data analytics→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Deep learning applications and challenges in big data analytics→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Deep learning applications and challenges in big data analytics→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
- A Fast Learning Algorithm for Deep Belief Nets→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
- Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
- Deep visual domain adaptation: A survey→Learning Deep Architectures for AILegacy edge — source detail unavailable
- State-of-the-art in artificial neural network applications: A survey→Learning Deep Architectures for AILegacy edge — source detail unavailable
- State-of-the-art in artificial neural network applications: A survey→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc…→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
Links
Topics
| Anomaly Detection Techniques and Applications | Computer Science |
| Generative Adversarial Networks and Image Synthesis | Computer Science |
| Neural Networks and Applications | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports6 author record(s) attached.
- supports199 reference(s) recorded.
- supportsThe DOI's year agrees with the publication year.
- supportsA title is present.
Provenance
sha256 a08467ae9504f237…