A Survey on Deep Learning
Samira Pouyanfar low, Saad Sadiq low, Yilin Yan, Haiman Tian, Yudong Tao, Maria Presa Reyes low, Mei‐Ling Shyu, Shu‐Ching Chen, S. S. Iyengar
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- Review of Deep Learning Algorithms and Architectures→A Survey on Deep LearningLegacy edge — source detail unavailable
- A Survey on Deep Learning→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
- A Survey on Deep Learning→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- A Survey on Deep Learning→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
- A Survey on Deep Learning→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- A Survey on Deep Learning→Neural Machine Translation by Jointly Learning to Align and TranslateLegacy edge — source detail unavailable
- A Survey on Deep Learning→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
- A Survey on Deep Learning→The perceptron: A probabilistic model for information storage and organization in the bra…Legacy edge — source detail unavailable
- A Survey on Deep Learning→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- A Survey on Deep Learning→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- A Survey on Deep Learning→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- A Survey on Deep Learning→ADADELTA: An Adaptive Learning Rate MethodLegacy edge — source detail unavailable
- A Survey on Deep Learning→Learning Deep Architectures for AILegacy edge — source detail unavailable
- A Survey on Deep Learning→Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communi…Legacy edge — source detail unavailable
- A Survey on Deep Learning→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
- A Survey on Deep Learning→Character-level Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
- A Survey on Deep Learning→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- A Survey on Deep Learning→Deep learning applications and challenges in big data analyticsLegacy edge — source detail unavailable
- A Survey on Deep Learning→Convolutional Neural Networks for Speech RecognitionLegacy edge — source detail unavailable
- A Survey on Deep Learning→Learning deep structured semantic models for web search using clickthrough dataLegacy edge — source detail unavailable
- A Survey on Deep Learning→Can we open the black box of AI?Legacy edge — source detail unavailable
- A Survey on Deep Learning→Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Excit…Legacy edge — source detail unavailable
- A Survey on Deep Learning→Semantic Parsing on Freebase from Question-Answer PairsLegacy edge — source detail unavailable
- A Survey on Deep Learning→Mitosis Detection in Breast Cancer Histology Images with Deep Neural NetworksLegacy edge — source detail unavailable
- On the importance of initialization and momentum in deep learning→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
- On the importance of initialization and momentum in deep learning→Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communi…Legacy 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
- Adam: A Method for Stochastic Optimization→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
- Adam: A Method for Stochastic Optimization→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Adam: A Method for Stochastic Optimization→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Adam: A Method for Stochastic Optimization→ADADELTA: An Adaptive Learning Rate MethodLegacy edge — source detail unavailable
- Understanding the difficulty of training deep feedforward neural networks→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Understanding the difficulty of training deep feedforward neural networks→A Fast Learning Algorithm for Deep Belief NetsLegacy 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
- Learning Deep Architectures for AI→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→The perceptron: A probabilistic model for information storage and organization in the bra…Legacy 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→Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communi…Legacy 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→Speech recognition with deep recurrent neural networksLegacy 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→Mitosis Detection in Breast Cancer Histology Images with Deep Neural NetworksLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→ADADELTA: An Adaptive Learning Rate MethodLegacy 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→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
- Neural Machine Translation by Jointly Learning to Align and Translate→ADADELTA: An Adaptive Learning Rate MethodLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→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 Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Understanding the difficulty of training deep feedforward neural 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→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…→ADADELTA: An Adaptive Learning Rate MethodLegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Understanding the difficulty of training deep feedforward neural networksLegacy 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
- Character-level Convolutional Networks for Text Classification→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
- Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Excit…→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
- Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Excit…→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
- Review of Deep Learning Algorithms and Architectures→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
- Review of Deep Learning Algorithms and Architectures→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
- Review of Deep Learning Algorithms and Architectures→The perceptron: A probabilistic model for information storage and organization in the bra…Legacy edge — source detail unavailable
- Review of Deep Learning Algorithms and Architectures→Deep learning applications and challenges in big data analyticsLegacy edge — source detail unavailable
- Review of Deep Learning Algorithms and Architectures→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- ADADELTA: An Adaptive Learning Rate Method→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Review of Deep Learning Algorithms and Architectures | 2019 | 1,878 |
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Topics
| Anomaly Detection Techniques and Applications | Computer Science |
| Music and Audio Processing | Computer Science |
| COVID-19 diagnosis using AI | Medicine |
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