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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.
2015
2015
Deep Neural Networks (DNNs) have proven very effective for classification and generative tasks, and are widely adapted in a… 
2015
2015
We adopt Convolutional Neural Networks (CNN) to learn discriminative features for local patch classification. We further… 
2014
2014
Recently, the hybrid deep neural networks and hidden Markov models (DNN/HMMs) have achieved dramatic gains over the conventional… 
2014
2014
Recently several speaker adaptation methods have been proposed for deep neural network (DNN) in many large vocabulary continuous… 
Highly Cited
2013
Highly Cited
2013
Using deep neural networks (DNNs) for automatic speech recognition (ASR) has recently attracted much attention due to the large… 
2013
2013
In this work, we propose a modular combination of two popular applications of neural networks to large-vocabulary continuous… 
2012
2012
Early years education at Scotch Oakburn College in Launceston, Tasmania, is inspired by the Reggio Emilia Education Project and… 
2006
2006
The hazards associated with high-voltage three-phase inverters and high-powered large electrical machines have resulted in most… 
Highly Cited
2000
Highly Cited
2000
I've been trying to craft this post since watching Team GB Cycling over the during The London 2012 Olympics and, prior to that… 
1999
1999
The paper explores the current context for uses of technology in education, including the nature of work, the capabilities…