Neural Networks: Tricks of the Trade
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Citation edge evidence
- Deep learning in neural networks: An overview→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- A survey on deep learning in medical image analysis→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- On the importance of initialization and momentum in deep learning→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- An introduction to kernel-based learning algorithms→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- Methods for interpreting and understanding deep neural networks→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- Recent advances in physical reservoir computing: A review→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- Explaining nonlinear classification decisions with deep Taylor decomposition→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- Neural Networks: Tricks of the Trade→Practical Recommendations for Gradient-Based Training of Deep ArchitecturesLegacy edge — source detail unavailable
- Neural Networks: Tricks of the Trade→Stochastic Gradient Descent TricksLegacy 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→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Explaining nonlinear classification decisions with deep Taylor decomposition→An introduction to kernel-based learning algorithmsLegacy edge — source detail unavailable
- A survey on deep learning in medical image analysis→Practical Recommendations for Gradient-Based Training of Deep ArchitecturesLegacy edge — source detail unavailable
- A survey on deep learning in medical image analysis→Explaining nonlinear classification decisions with deep Taylor decompositionLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
- Methods for interpreting and understanding deep neural networks→Explaining nonlinear classification decisions with deep Taylor decompositionLegacy edge — source detail unavailable
- Recent advances in physical reservoir computing: A review→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Practical Recommendations for Gradient-Based Training of Deep Architectures | 2012 | 1,960 |
| Stochastic Gradient Descent Tricks | 2012 | 1,944 |
What cites it, inside the corpus
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Topics
| Neural Networks and Applications | Computer Science |
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