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Neural Networks

Known as: Neural Networks (Journal), Neural network (disambiguation) 
Neural Networks is a monthly peer-reviewed scientific journal and an official journal of the International Neural Network Society, European Neural… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Traditionally, analytical methods have been used to solve imaging problems such as image restoration, inpainting, and… Expand
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Review
2018
Review
2018
Whilst deep neural networks have shown great empirical success, there is still much work to be done to understand their… Expand
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Review
2018
Review
2018
In the past decade, Convolutional Neural Networks (CNNs) have demonstrated state-of-the-art performance in various Artificial… Expand
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Review
2018
Review
2018
Recurrent neural networks (RNNs) are capable of learning features and long term dependencies from sequential and time-series data… Expand
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Review
2018
Review
2018
Modern deep neural network training is typically based on mini-batch stochastic gradient optimization. While the use of large… Expand
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Review
2018
Review
2018
Deep learning has demonstrated tremendous success in variety of application domains in the past few years. This new field of… Expand
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Review
2018
Review
2018
In practice it is often found that large over-parameterized neural networks generalize better than their smaller counterparts, an… Expand
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Review
2017
Review
2017
The products reviews are increasingly used by individuals and organizations for purchase and business decisions. Driven by the… Expand
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Review
2017
Review
2017
Deep convolutional neural networks (CNNs) have recently achieved great success in many visual recognition tasks. However… Expand
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Review
2017
Review
2017
The success of traditional methods for solving computer vision problems heavily depends on the feature extraction process. But… Expand
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