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Convolutional neural network

Known as: Max norm constraint, Convolutional neural networks, ConvNet 
In machine learning, a convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network in which the connectivity… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
In this paper, we review recent deep learning advances in the context of how they have been applied to play different types of… Expand
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Review
2018
Review
2018
Regular inspection of nuclear power plant components is important to guarantee safe operations. However, current practice is time… Expand
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Review
2018
Review
2018
The tremendous success of machine learning algorithms at image recognition tasks in recent years intersects with a time of… Expand
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Review
2018
Review
2018
We present an overview of techniques for quantizing convolutional neural networks for inference with integer weights and… Expand
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Review
2018
Review
2018
Human motion recognition is one of the most important branches of human-centered research activities. In recent years, motion… Expand
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Review
2018
Review
2018
This paper reviews recent studies in understanding neural-network representations and learning neural networks with interpretable… Expand
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Review
2018
Review
2018
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data… Expand
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Review
2018
Review
2018
Deep neural networks have evolved remarkably over the past few years and they are currently the fundamental tools of many… Expand
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Review
2018
Review
2018
Abstract Recently, deep learning has achieved great success in visual tracking. The goal of this paper is to review the state-of… 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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