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HARDWARE-EFFICIENT DEEP CONVOLUTIONAL NEURAL NETWORKS

  • US 20170132496A1
  • Filed: 11/05/2015
  • Published: 05/11/2017
  • Est. Priority Date: 11/05/2015
  • Status: Active Grant
First Claim
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1. A convolutional neural network system, comprising:

  • one or more processors;

    a memory configured to store a sparse, frequency domain representation of a convolutional weighting kernel;

    a time-domain-to-frequency-domain converter configured to, by the one or more processors, generate a frequency domain representation of an input image;

    a feature extractor configured to, by the one or more processors;

    access the memory, andextract a plurality of features based at least in part on the sparse, frequency domain representation of the convolutional weighting kernel and the frequency domain representation of the input image; and

    a classifier configured to, by the one or more processors, determine, based on the plurality of extracted features, whether the input image contains an object of interest.

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