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Neural networks provide state-of-the-art results for most machine learning tasks.
Malware classification with recurrent networks
1920
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Gradient-based learning applied to document recognition
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The mnist database of handwritten digits, 1998
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Neural networks in mobile robot motion
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Imagenet: A large-scale hierarchical image database
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Deep neural networks for acoustic modeling in speech recognition
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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
2012
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ImageNet classification with deep convolutional neural networks
2012
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Large-scale malware classification using random projections and neural networks
2013
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Speech recognition with deep recurrent neural networks
2013
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Rectifier nonlinearities improve neural network acoustic models
2013
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Playing Atari with deep reinforcement learning
2013
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Intriguing properties of neural networks
2013
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Explaining and harnessing adversarial examples
2014
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Adversarial perturbations against deep neural networks for malware classification
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Deep residual learning for image recognition
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