Improving deep neural networks for LVCSR using rectified linear units and dropout

ImageNet Classification with Deep Convolutional Neural Networks

2012 • 67,909 citations

ImageNet classification with deep convolutional neural networks

2017 • 31,828 citations

Rectified Linear Units Improve Restricted Boltzmann Machines

2010 • 11,756 citations

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

2012 • 9,696 citations

Extracting and composing robust features with denoising autoencoders

2008 • 6,787 citations

Improving neural networks by preventing co-adaptation of feature detectors

2012 • 6,503 citations

Practical Bayesian Optimization of Machine Learning Algorithms

2012 • 4,693 citations

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

2011 • 3,036 citations

What is the best multi-stage architecture for object recognition?

2009 • 2,137 citations

Deep Neural Networks for Acoustic Modeling in Speech Recognition

2012 • 1,957 citations

Acoustic Modeling Using Deep Belief Networks

2011 • 1,722 citations

Scalable minimum Bayes risk training of deep neural network acoustic models using distributed hessian-free optimization

2012 • 233 citations

Learning a better representation of speech soundwaves using restricted boltzmann machines

2011 • 224 citations

Making Deep Belief Networks effective for large vocabulary continuous speech recognition

2011 • 195 citations

Auto-encoder bottleneck features using deep belief networks

2012 • 184 citations

The IBM Attila speech recognition toolkit

2010 • 124 citations

CUDAMat: a CUDA-based matrix class for Python

2009 • 69 citations