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公开(公告)号：US12299555B2
公开(公告)日：2025-05-13
申请号：US17894798
申请日：2022-08-24
Applicant: Amazon Technologies, Inc.
Inventor： Steven L. Teig , Eric A. Sather
Abstract: Some embodiments provide an electronic device that includes a set of processing units and a set of machine-readable media. The set of machine-readable media stores sets of instructions for applying a network of computation nodes to an input received by the device. The set of machine-readable media stores at least two sets of machine-trained parameters for configuring the network for different types of inputs. A first of the sets of parameters is used for applying the network to a first type of input and a second of the sets of parameters is used for applying the network to a second type of input.
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公开(公告)号：US12248880B2
公开(公告)日：2025-03-11
申请号：US18238507
申请日：2023-08-27
Applicant: Amazon Technologies, Inc.
Inventor： Eric A. Sather , Steven L. Teig , Andrew C. Mihal
IPC: G06N3/084 , G06F18/21 , G06F18/214 , G06N3/04 , G06N3/08 , G06T7/00 , G06V10/44 , G06V10/764 , G06V10/82 , G06V40/16
Abstract: Some embodiments provide a method for training a machine-trained (MT) network that processes inputs using network parameters. The method propagates a set of input training items through the MT network to generate a set of output values. The set of input training items comprises multiple training items for each of multiple categories. The method identifies multiple training item groupings in the set of input training items. Each grouping includes at least two training items in a first category and at least one training item in a second category. The method calculates a value of a loss function as a summation of individual loss functions for each of the identified training item groupings. The individual loss function for each particular training item grouping is based on the output values for the training items of the grouping. The method trains the network parameters using the calculated loss function value.
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