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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.
2017
2017
The discriminative approach to classification using deep neural networks has become the de-facto standard in various fields… 
2017
2017
Automatic speech recognition (ASR) systems often does not perform well when it is used in a different acoustic domain from the… 
2016
2016
The recent advances in image captioning stimulate the research in generating natural language description for visual content… 
Highly Cited
2014
Highly Cited
2014
In this paper, we propose a novel method to adapt context-dependent deep neural network hidden Markov model (CD-DNN-HMM) with… 
2014
2014
SUMMARY This paper presents a voice conversion technique using speaker-dependent Restricted Boltzmann Machines (RBM) to build… 
2014
2014
We propose a spatial diffuseness feature for deep neural network (DNN)-based automatic speech recognition to improve recognition… 
2014
2014
Recently, the hybrid deep neural networks and hidden Markov models (DNN/HMMs) have achieved dramatic gains over the conventional… 
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…