Practical Recommendations for Gradient-Based Training of Deep Architectures

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

• A survey on deep learning in medical image analysis→Practical Recommendations for Gradient-Based Training of Deep ArchitecturesLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Practical Recommendations for Gradient-Based Training of Deep ArchitecturesLegacy edge — source detail unavailable
• Neural Networks: Tricks of the Trade→Practical Recommendations for Gradient-Based Training of Deep ArchitecturesLegacy edge — source detail unavailable
• Deep Learning for Health Informatics→Practical Recommendations for Gradient-Based Training of Deep ArchitecturesLegacy edge — source detail unavailable
• Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models→Practical Recommendations for Gradient-Based Training of Deep ArchitecturesLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Bagging PredictorsLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Indexing by latent semantic analysisLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Deep Sparse Rectifier Neural NetworksLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Curriculum learningLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Algorithms for Hyper-Parameter OptimizationLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Markov logic networksLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Why Does Unsupervised Pre-training Help Deep Learning?Legacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Learning and development in neural networks: the importance of starting smallLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Stochastic Gradient Descent TricksLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Introduction to Statistical Relational LearningLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
• Practical Recommendations for Gradient-Based Training of Deep Architectures→Connectionist learning proceduresLegacy edge — source detail unavailable
• Understanding the difficulty of training deep feedforward neural networks→Learning representations by back-propagating errorsLegacy 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
• Neural Networks: Tricks of the Trade→Stochastic Gradient Descent TricksLegacy edge — source detail unavailable
• Introduction to Statistical Relational Learning→Markov logic networksLegacy edge — source detail unavailable
• Learning Deep Architectures for AI→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Learning Deep Architectures for AI→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
• Learning Deep Architectures for AI→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Learning Deep Architectures for AI→Indexing by latent semantic analysisLegacy edge — source detail unavailable
• Learning Deep Architectures for AI→Learning and development in neural networks: the importance of starting smallLegacy edge — source detail unavailable
• Learning Deep Architectures for AI→Curriculum learningLegacy edge — source detail unavailable
• Neural Networks and the Bias/Variance Dilemma→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Algorithms for Hyper-Parameter Optimization→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Why Does Unsupervised Pre-training Help Deep Learning?→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Why Does Unsupervised Pre-training Help Deep Learning?→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Why Does Unsupervised Pre-training Help Deep Learning?→Curriculum learningLegacy edge — source detail unavailable
• Deep Sparse Rectifier Neural Networks→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Deep Sparse Rectifier Neural Networks→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Deep Sparse Rectifier Neural Networks→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep Sparse Rectifier Neural Networks→Why Does Unsupervised Pre-training Help Deep Learning?Legacy edge — source detail unavailable
• Natural Language Processing (almost) from Scratch→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Natural Language Processing (almost) from Scratch→Curriculum learningLegacy 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→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach→Deep Sparse Rectifier Neural NetworksLegacy edge — source detail unavailable
• Curriculum learning→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Curriculum learning→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Curriculum learning→Learning and development in neural networks: the importance of starting smallLegacy edge — source detail unavailable
• Curriculum learning→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Deep Learning for Health Informatics→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Deep Learning for Health Informatics→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• A survey on deep learning in medical image analysis→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
• A survey on deep learning in medical image analysis→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• A survey on deep learning in medical image analysis→Deep Learning for Health InformaticsLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Why Does Unsupervised Pre-training Help Deep Learning?Legacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Connectionist learning procedures→Learning representations by back-propagating errorsLegacy edge — source detail unavailable