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For all the following models, the training complexity is proportional to O = E T Q; (1) where E is number of the training epochs, T is the number of …

@google.com arXiv:1609.03499v2 [cs.SD] 19 Sep 2016

where 1 <x t <1 and = 255. This non-linear quantization produces a significantly better reconstruction than a simple linear quantization scheme. …

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Mastering Chess and Shogi by Self-Play with a …

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MatConvNet: Convolutional Neural Networks for …

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ARTIFICIAL NEURAL NETWORKS AND ITS APPLICATIONS Girish Kumar Jha I.A.R.I., New Delhi-110 012 girish_iasri@rediffmail.com Introduction Neural networks have seen an explosion of interest over the last few years and are being

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