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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
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several… Expand
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Review
2020
Review
2020
Data augmentation is a commonly used technique for increasing both the size and the diversity of labeled training sets by… Expand
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Review
2019
Review
2019
Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are… Expand
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Review
2019
Review
2019
Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning… Expand
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Review
2019
Review
2019
The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective… Expand
Review
2019
Review
2019
Abstract Nowadays, Deep Learning is the most attractive research trend in the area of Machine Learning. With the ability of… Expand
Review
2019
Review
2019
Due to recent advances in digital technologies, and availability of credible data, an area of artificial intelligence, deep… Expand
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Review
2019
Review
2019
The growing interest in both the automation of machine learning and deep learning has inevitably led to the development of a wide… Expand
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Review
2019
Review
2019
Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data… Expand
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Review
2019
Review
2019
Abstract Video action recognition is widely applied in video indexing, intelligent surveillance, multimedia understanding, and… Expand