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Deep neural networks are commonly developed and trained in 32-bit floating point format.
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Matthieu Courbariaux, Yoshua Bengio, and Jean-Pierre David · 2015
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Deep learning with limited numerical precision
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Matthieu Courbariaux and Yoshua Bengio · 2016
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Convolutional neural networks using logarithmic data representation
Daisuke Miyashita, Edward H. Lee, and Boris Murmann · 2016
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Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Mixed low-precision deep learning inference using dynamic fixed point
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun
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In-datacenter performance analysis of a tensor processing unit
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Gans trained by a two time-scale update rule converge to a nash equilibrium
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