Patent ID: 11941669
Assignee: YAHOO AD TECH LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. The method of claim 2, wherein:
the training the machine learning model comprises performing one or more first training steps to generate a first plurality of weights associated with connections between deep neural network nodes;
the performing the one or more pruning operations comprises performing a first iteration of the iterative pruning process by setting a first subset of weights, of the first plurality of weights, to zero to generate a second plurality of weights having a first sparsity;
the training the machine learning model comprises performing one or more second training steps, using the second plurality of weights, to generate a third plurality of weights; and
the performing the one or more pruning operations comprises performing a second iteration of the iterative pruning process by setting a second subset of weights, of the third plurality of weights, to zero to generate a fourth plurality of weights having a second sparsity.