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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
2019
Highly Cited
2019
Deep learning frameworks have often focused on either usability or speed, but not both. PyTorch is a machine learning library… 
Highly Cited
2017
Highly Cited
2017
Recent work has demonstrated that deep neural networks are vulnerable to adversarial examples---inputs that are almost… 
Highly Cited
2017
Highly Cited
2017
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library… 
Highly Cited
2016
Highly Cited
2016
We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between… 
Highly Cited
2016
Highly Cited
2016
We propose a conceptually simple and lightweight framework for deep reinforcement learning that uses asynchronous gradient… 
Highly Cited
2016
Highly Cited
2015
Highly Cited
2015
The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known… 
Highly Cited
2014
Highly Cited
2014
Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework… 
Review
2014
Review
2014
This monograph provides an overview of general deep learning methodology and its applications to a variety of signal and… 
Highly Cited
2013
Highly Cited
2013
We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input…