Acoustic Modeling Using Deep Belief Networks

Citation edge evidence

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• Dropout: a simple way to prevent neural networks from overfitting→Acoustic Modeling Using Deep Belief NetworksLegacy 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
• Speech recognition with deep recurrent neural networks→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Improving neural networks by preventing co-adaptation of feature detectors→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Gaussian Error Linear Units (GELUs)→Acoustic Modeling Using Deep Belief NetworksLegacy 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
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep learning applications and challenges in big data analytics→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Convolutional Neural Networks for Speech Recognition→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• A State-of-the-Art Survey on Deep Learning Theory and Architectures→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep Speech: Scaling up end-to-end speech recognition→Acoustic Modeling Using Deep Belief NetworksLegacy 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→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy 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→Training Products of Experts by Minimizing Contrastive DivergenceLegacy 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
• On the importance of initialization and momentum in deep learning→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Improving neural networks by preventing co-adaptation of feature detectors→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Improving neural networks by preventing co-adaptation of feature detectors→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Improving neural networks by preventing co-adaptation of feature detectors→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Speech: Scaling up end-to-end speech recognition→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
• Deep Speech: Scaling up end-to-end speech recognition→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
• Deep Speech: Scaling up end-to-end speech recognition→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Speech: Scaling up end-to-end speech recognition→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Convolutional Neural Networks for Speech Recognition→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Convolutional Neural Networks for Speech Recognition→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Convolutional Neural Networks for Speech Recognition→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Dropout: a simple way to prevent neural networks from overfitting→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Dropout: a simple way to prevent neural networks from overfitting→A Fast Learning Algorithm for Deep Belief NetsLegacy 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→Improving neural networks by preventing co-adaptation of feature detectorsLegacy 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
• A Fast Learning Algorithm for Deep Belief Nets→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• A Fast Learning Algorithm for Deep Belief Nets→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
• Speech recognition with deep recurrent neural networks→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Speech recognition with deep recurrent neural networks→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy 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 Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Hybrid speech recognition with Deep Bidirectional LSTMLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy 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
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Deep Speech: Scaling up end-to-end speech recognitionLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Hybrid speech recognition with Deep Bidirectional LSTMLegacy edge — source detail unavailable
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Deep Neural Networks for Acoustic Modeling 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→Training Products of Experts by Minimizing Contrastive DivergenceLegacy 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→A Fast Learning Algorithm for Deep Belief NetsLegacy 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→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→Deep Learning: Methods and ApplicationsLegacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Gaussian Error Linear Units (GELUs)→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• A State-of-the-Art Survey on Deep Learning Theory and Architectures→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
• A State-of-the-Art Survey on Deep Learning Theory and Architectures→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• A State-of-the-Art Survey on Deep Learning Theory and Architectures→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• A State-of-the-Art Survey on Deep Learning Theory and Architectures→Deep learning applications and challenges in big data analyticsLegacy edge — source detail unavailable
• A State-of-the-Art Survey on Deep Learning Theory and Architectures→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• A State-of-the-Art Survey on Deep Learning Theory and Architectures→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• A State-of-the-Art Survey on Deep Learning Theory and Architectures→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable