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Training method and apparatus for neural network for image recognition

  • US 10,296,813 B2
  • Filed: 09/01/2016
  • Issued: 05/21/2019
  • Est. Priority Date: 09/02/2015
  • Status: Active Grant
First Claim
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1. A training method for a neural network for image recognition by a computing apparatus, the method comprising:

  • by the computing apparatus,representing a sample image as a point set in a high-dimensional space, a space size of the high-dimensional space being a domain size of a space domain of the sample image multiplied by an intensity size of an intensity domain of the sample image;

    generating a first random perturbation matrix to perturb a space domain and/or a intensity domain in a same space size as the high-dimensional space;

    filtering information of the generated first random perturbation matrix to smooth the generated first random perturbation matrix;

    perturbing the point set in the high-dimensional space using the smoothed first random perturbation matrix to obtain a perturbed point set; and

    training the neural network using the perturbed point set as a new sample image for the image recognition.

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