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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.
2016
2016
The recent advances in image captioning stimulate the research in generating natural language description for visual content… 
2015
2015
Deep Neural Networks (DNNs) have proven very effective for classification and generative tasks, and are widely adapted in a… 
2014
2014
SUMMARY This paper presents a voice conversion technique using speaker-dependent Restricted Boltzmann Machines (RBM) to build… 
2014
2014
Cough detection and assessment have crucial clinical value for respiratory diseases. Subjective assessments are widely adopted in… 
2014
2014
Recently, the hybrid deep neural networks and hidden Markov models (DNN/HMMs) have achieved dramatic gains over the conventional… 
Highly Cited
2013
Highly Cited
2013
We present a new scalable approach to using deep neural network (DNN) derived features in Gaussian mixture density hidden Markov… 
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…