Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Related topics

Related topics

50 relations
AI takeoverArithmetic logic unitAtariBackpropagation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Safer Classification by Synthesis
The discriminative approach to classification using deep neural networks has become the de-facto standard in various fields… 
2017
2017
Cross-domain speech recognition using nonparallel corpora with cycle-consistent adversarial networks
Automatic speech recognition (ASR) systems often does not perform well when it is used in a different acoustic domain from the… 
2016
2016
Video Description Generation using Audio and Visual Cues
The recent advances in image captioning stimulate the research in generating natural language description for visual content… 
2015
2015
FPGA implementation of a Deep Belief Network architecture for character recognition using stochastic computation
Deep Neural Networks (DNNs) have proven very effective for classification and generative tasks, and are widely adapted in a… 
Highly Cited
2014
Highly Cited
2014
Factorized adaptation for deep neural network
In this paper, we propose a novel method to adapt context-dependent deep neural network hidden Markov model (CD-DNN-HMM) with… 
2014
2014
Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments
We propose a spatial diffuseness feature for deep neural network (DNN)-based automatic speech recognition to improve recognition… 
2014
2014
GMM-Free DNN Training
While deep neural networks (DNNs) have become the dominant acoustic model (AM) for speech recognition systems, they are still… 
2012
2012
Inquiry learning is deep learning
Early years education at Scotch Oakburn College in Launceston, Tasmania, is inspired by the Reggio Emilia Education Project and… 
2010
2010
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical… 
2006
2006
Three-phase machines and drives-equipment for a laboratory-based course
The hazards associated with high-voltage three-phase inverters and high-powered large electrical machines have resulted in most… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)