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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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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.
2017
2017
Safer Classification by Synthesis
William Wang
,
Angelina Wang
,
Aviv Tamar
,
Xi Chen
,
P. Abbeel
arXiv.org
2017
Corpus ID: 31650962
The discriminative approach to classification using deep neural networks has become the de-facto standard in various fields…
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2017
2017
Cross-domain speech recognition using nonparallel corpora with cycle-consistent adversarial networks
M. Mimura
,
S. Sakai
,
Tatsuya Kawahara
Automatic Speech Recognition & Understanding
2017
Corpus ID: 5903889
Automatic speech recognition (ASR) systems often does not perform well when it is used in a different acoustic domain from the…
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2016
2016
Video Description Generation using Audio and Visual Cues
Qin Jin
,
Junwei Liang
International Conference on Multimedia Retrieval
2016
Corpus ID: 7150147
The recent advances in image captioning stimulate the research in generating natural language description for visual content…
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Highly Cited
2014
Highly Cited
2014
Factorized adaptation for deep neural network
Jinyu Li
,
J. Huang
,
Y. Gong
IEEE International Conference on Acoustics…
2014
Corpus ID: 14045957
In this paper, we propose a novel method to adapt context-dependent deep neural network hidden Markov model (CD-DNN-HMM) with…
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2014
2014
Voice Conversion Based on Speaker-Dependent Restricted Boltzmann Machines
Toru Nakashika
,
T. Takiguchi
,
Y. Ariki
IEICE Trans. Inf. Syst.
2014
Corpus ID: 18710337
SUMMARY This paper presents a voice conversion technique using speaker-dependent Restricted Boltzmann Machines (RBM) to build…
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2014
2014
Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments
A. Schwarz
,
Christian Huemmer
,
R. Maas
,
Walter Kellermann
IEEE International Conference on Acoustics…
2014
Corpus ID: 7804060
We propose a spatial diffuseness feature for deep neural network (DNN)-based automatic speech recognition to improve recognition…
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2014
2014
Improving deep neural networks for LVCSR using dropout and shrinking structure
Shiliang Zhang
,
Y. Bao
,
Pan Zhou
,
Hui Jiang
,
Lirong Dai
IEEE International Conference on Acoustics…
2014
Corpus ID: 9287367
Recently, the hybrid deep neural networks and hidden Markov models (DNN/HMMs) have achieved dramatic gains over the conventional…
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2013
2013
Modular combination of deep neural networks for acoustic modeling
Jonas Gehring
,
Wonkyum Lee
,
Kevin Kilgour
,
Ian Lane
,
Yajie Miao
,
A. Waibel
Interspeech
2013
Corpus ID: 6475141
In this work, we propose a modular combination of two popular applications of neural networks to large-vocabulary continuous…
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2012
2012
Inquiry learning is deep learning
B. Bushby
2012
Corpus ID: 155405883
Early years education at Scotch Oakburn College in Launceston, Tasmania, is inspired by the Reggio Emilia Education Project and…
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2006
2006
Three-phase machines and drives-equipment for a laboratory-based course
S. Shirsavar
,
B. Potter
,
I. Ridge
IEEE Transactions on Education
2006
Corpus ID: 38130569
The hazards associated with high-voltage three-phase inverters and high-powered large electrical machines have resulted in most…
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