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Deep learning

Known as: DL, Deep neural networks, Deep machine learning 
Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
In many optical metrology techniques, fringe pattern analysis is the central algorithm for recovering the underlying phase… 
Review
2018
Review
2018
Deep learning is an emerging area of machine learning (ML) research. It comprises multiple hidden layers of artificial neural… 
Highly Cited
2017
Highly Cited
2017
With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one thats… 
Highly Cited
2016
Highly Cited
2016
In this paper, we demonstrate that image reconstruction can be expressed in terms of neural networks. We show that filtered back… 
Highly Cited
2016
Highly Cited
2016
This paper discusses the fourth year of the ”Sentiment Analysis in Twitter Task”. SemEval-2016 Task 4 comprises five subtasks… 
Highly Cited
2016
Highly Cited
2016
We explore the use of deep learning hierarchical models for problems in nancial prediction and classication. Financial prediction… 
Highly Cited
2011
Highly Cited
2011
Bottleneck features have been shown to be effective in improving the accuracy of automatic speech recognition (ASR) systems… 
Highly Cited
2009
Highly Cited
2009
One technology for education whose adoption is currently expanding rapidly in UK higher education is that of electronic voting… 
Review
2006
Review
2006
This roundtable will discuss Digital Storytelling as a tool for deep learning, and provide a framework for researching and…