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Deep learning
Known as:
DL
, Deep neural networks
, Deep machine learning
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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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Related topics
Related topics
50 relations
AI takeover
Arithmetic logic unit
Atari
Backpropagation
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Fringe pattern analysis using deep learning
Shijie Feng
,
Qian Chen
,
+5 authors
C. Zuo
Advanced Photonics
2018
Corpus ID: 69588677
In many optical metrology techniques, fringe pattern analysis is the central algorithm for recovering the underlying phase…
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Review
2018
Review
2018
Deep Learning: A Review
R. Vargas
,
Amir Mosavi
,
R. Ruiz
2018
Corpus ID: 70271467
Deep learning is an emerging area of machine learning (ML) research. It comprises multiple hidden layers of artificial neural…
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Highly Cited
2017
Highly Cited
2017
Fundamentals of deep learning
Nikhil Buduma
,
N. Locascio
2017
Corpus ID: 208091554
With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one thats…
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Highly Cited
2016
Highly Cited
2016
Deep Learning Computed Tomography
Tobias Würfl
,
Florin C. Ghesu
,
Vincent Christlein
,
A. Maier
International Conference on Medical Image…
2016
Corpus ID: 2920686
In this paper, we demonstrate that image reconstruction can be expressed in terms of neural networks. We show that filtered back…
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Highly Cited
2016
Highly Cited
2016
SemEval-2016 Task 4: Sentiment Analysis in Twitter
Preslav Nakov
,
Alan Ritter
,
Sara Rosenthal
,
F. Sebastiani
,
Veselin Stoyanov
International Workshop on Semantic Evaluation
2016
Corpus ID: 65038030
This paper discusses the fourth year of the ”Sentiment Analysis in Twitter Task”. SemEval-2016 Task 4 comprises five subtasks…
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Highly Cited
2016
Highly Cited
2016
Deep Learning in Finance
J. B. Heaton
,
Nicholas G. Polson
,
J. Witte
arXiv.org
2016
Corpus ID: 16338519
We explore the use of deep learning hierarchical models for problems in nancial prediction and classication. Financial prediction…
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Highly Cited
2011
Highly Cited
2011
Improved Bottleneck Features Using Pretrained Deep Neural Networks
Dong Yu
,
M. Seltzer
Interspeech
2011
Corpus ID: 8930392
Bottleneck features have been shown to be effective in improving the accuracy of automatic speech recognition (ASR) systems…
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Highly Cited
2009
Highly Cited
2009
Catalytic assessment: understanding how MCQs and EVS can foster deep learning
S. Draper
British Journal of Educational Technology
2009
Corpus ID: 41797177
One technology for education whose adoption is currently expanding rapidly in UK higher education is that of electronic voting…
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Highly Cited
2008
Highly Cited
2008
The effect of peer feedback for blogging on college students' reflective learning processes
Ying Xie
,
Fengfeng Ke
,
Priya Sharma
Internet and Higher Education
2008
Corpus ID: 54927035
Review
2006
Review
2006
Researching and Evaluating Digital Storytelling as a Deep Learning Tool
Helen Barrett
2006
Corpus ID: 108940250
This roundtable will discuss Digital Storytelling as a tool for deep learning, and provide a framework for researching and…
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