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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
2019
Highly Cited
2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
,
Sam Gross
,
+18 authors
Soumith Chintala
Neural Information Processing Systems
2019
Corpus ID: 202786778
Deep learning frameworks have often focused on either usability or speed, but not both. PyTorch is a machine learning library…
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Highly Cited
2017
Highly Cited
2017
Towards Deep Learning Models Resistant to Adversarial Attacks
A. Madry
,
Aleksandar Makelov
,
Ludwig Schmidt
,
Dimitris Tsipras
,
Adrian Vladu
International Conference on Learning…
2017
Corpus ID: 3488815
Recent work has demonstrated that deep neural networks are vulnerable to adversarial examples---inputs that are almost…
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Highly Cited
2017
Highly Cited
2017
Deep Learning with Python
François Chollet
2017
Corpus ID: 38948903
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library…
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Highly Cited
2016
Highly Cited
2016
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
Computer Vision and Pattern Recognition
2016
Corpus ID: 2375110
We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between…
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Highly Cited
2016
Highly Cited
2016
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
,
Adrià Puigdomènech Badia
,
+5 authors
K. Kavukcuoglu
International Conference on Machine Learning
2016
Corpus ID: 6875312
We propose a conceptually simple and lightweight framework for deep reinforcement learning that uses asynchronous gradient…
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Highly Cited
2016
Highly Cited
2016
Deep Learning
Xing Hao
,
Guigang Zhang
,
Shang Ma
International Journal of Semantic Computing
2016
Corpus ID: 1779661
Highly Cited
2015
Highly Cited
2015
Deep Reinforcement Learning with Double Q-Learning
H. V. Hasselt
,
A. Guez
,
David Silver
AAAI Conference on Artificial Intelligence
2015
Corpus ID: 6208256
The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known…
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Highly Cited
2014
Highly Cited
2014
Deep Learning Face Attributes in the Wild
Ziwei Liu
,
Ping Luo
,
Xiaogang Wang
,
Xiaoou Tang
IEEE International Conference on Computer Vision
2014
Corpus ID: 459456
Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework…
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Review
2014
Review
2014
Deep Learning: Methods and Applications
L. Deng
,
Dong Yu
Foundations and Trends® in Signal Processing
2014
Corpus ID: 53304118
This monograph provides an overview of general deep learning methodology and its applications to a variety of signal and…
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Highly Cited
2013
Highly Cited
2013
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
,
K. Kavukcuoglu
,
+4 authors
Martin A. Riedmiller
arXiv.org
2013
Corpus ID: 15238391
We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input…
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