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FIXED POINT NEURAL NETWORK BASED ON FLOATING POINT NEURAL NETWORK QUANTIZATION

  • US 20160328646A1
  • Filed: 10/22/2015
  • Published: 11/10/2016
  • Est. Priority Date: 05/08/2015
  • Status: Active Grant
First Claim
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1. A method of quantizing a floating point machine learning network to obtain a fixed point machine learning network using a quantizer, comprising:

  • determining quantizer parameters for quantizing values of the floating point machine learning network based at least in part on at least one moment of an input distribution of the floating point machine learning network to obtain corresponding values of the fixed point machine learning network.

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