Review of Deep Learning Algorithms and Architectures

Citation edge evidence

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

• Review of Deep Learning Algorithms and Architectures→Long Short-Term MemoryLegacy 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→Adaptation in Natural and Artificial SystemsLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Dropout: a simple way to prevent neural networks from overfittingLegacy 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
• Review of Deep Learning Algorithms and Architectures→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Auto-Encoding Variational BayesLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Extreme learning machine: Theory and applicationsLegacy 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→Machine learning: Trends, perspectives, and prospectsLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Approximation capabilities of multilayer feedforward networksLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Learning to Forget: Continual Prediction with LSTMLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→A genetic algorithm tutorialLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Deep Reinforcement Learning: A Brief SurveyLegacy 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→On Discriminative vs. Generative Classifiers: A comparison of logistic regression and nai…Legacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→Extreme Learning Machine for Multilayer PerceptronLegacy edge — source detail unavailable
• Review of Deep Learning Algorithms and Architectures→A Survey on Deep LearningLegacy edge — source detail unavailable
• Adam: A Method for Stochastic Optimization→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Adam: A Method for Stochastic Optimization→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
• Machine learning: Trends, perspectives, and prospects→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Approximation capabilities of multilayer feedforward networks→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• A genetic algorithm tutorial→Adaptation in Natural and Artificial SystemsLegacy 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
• Extreme learning machine: Theory and applications→Approximation capabilities of multilayer feedforward networksLegacy 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
• Learning to Forget: Continual Prediction with LSTM→Long Short-Term MemoryLegacy edge — source detail unavailable
• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…→Long Short-Term MemoryLegacy edge — source detail unavailable
• Extreme Learning Machine for Multilayer Perceptron→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• A Survey on Deep Learning→Adam: A Method for Stochastic OptimizationLegacy 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 learning applications and challenges in big data analyticsLegacy 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
• Deep Reinforcement Learning: A Brief Survey→Auto-Encoding Variational BayesLegacy edge — source detail unavailable
• Deep Reinforcement Learning: A Brief Survey→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable