Deep learning
Citations
1,891 citations
1,868 citations
Cites background from "Deep learning"
...Deep learning, which is a popular research area of artificial intelligence (AI), enables the creation of end-to-end models to achieve promised results using input data, without the need for manual feature extraction [26,27]....
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...The advent of deep learning technology has revolutionized artificial intelligence [26,27]....
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1,843 citations
1,833 citations
Cites background or methods from "Deep learning"
...These three types of architectures were chosen since they are widely adopted for end-to-end deep learning (LeCun et al., 2015) models for TSC....
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...In this review, we focus on the TSC task (Bagnall et al., 2017) using DNNs which are considered complex machine learning models (LeCun et al., 2015)....
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...…(Krizhevsky et al., 2012) won the ImageNet competition in 2012, deep CNNs have seen a lot of successful applications in many different domains (LeCun et al., 2015) such as reaching human level performance in image recognition problems (Szegedy et al., 2015) as well as different natural…...
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...After having established the current state-of-the-art of non deep classifiers for TSC (Bagnall et al., 2017), we discuss the success of Deep Learning (LeCun et al., 2015) in various classification tasks which motivated the recent utilization of deep learning models for TSC (Wang et al., 2017b)....
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1,794 citations
References
72,897 citations
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