公开(公告)号：US12204964B2

公开(公告)日：2025-01-21

申请号：US18177636

申请日：2023-03-02

Applicant: Adobe Inc.

Inventor： Sumeet Khurana ,  Shvet Chakra ,  Nipun Poddar ,  Naveen Prakash Goel ,  Amit Gupta

IPC: B41J2/205 ,  G06K15/02 ,  G06N20/00

Abstract: Methods and systems are provided for facilitating implementation of machine learning models in embedded software. In embodiments, a lean machine learning model, having a limited number of layers, is trained in association with a complex machine learning model, having a greater number of layers. To this end, a complex machine learning model, having a first number of layers, can be trained based on an output generated from a lean machine learning model used as input to the complex machine learning model. Further, the lean machine learning model, having a second number of layers less than the first number of layers, is trained using a loss value generated in association with training the complex machine learning model. Thereafter, the trained lean machine learning model can be provided for implementation in an embedded software.