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Sharing preprocessing, computations, and hardware resources between multiple neural networks

  • US 20200134467A1
  • Filed: 10/23/2019
  • Published: 04/30/2020
  • Est. Priority Date: 10/25/2018
  • Status: Active Grant
First Claim
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1. A method for training a Neural-Network (NN), the method comprising:

  • receiving a plurality of NN training tasks, each training task comprising (i) a respective preprocessing phase that preprocesses data to be provided as input data to the NN, and (ii) a respective computation phase that trains the NN using the preprocessed data; and

    executing the plurality of NN training tasks, including;

    identifying a commonality between the input data required by computation phases of two or more of the training tasks; and

    in response to identifying the commonality, executing one or more preprocessing phases that produce the input data jointly for the two or more training tasks.

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