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AssigneeMicrosoft Technology Licensing, LLC
InventorsJorge Alexandre SILVA TAVARES, Assaf AVIHOO, Thilo WILL, Andrei Lucian AVRAM
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Aspects of the present disclosure provide accelerated transfer learning for machine learning models, such as neural networks, as a service. In doing so, the aspects disclosed herein decouple the conversion process for use of machine learning models from deployment of the models in a production environment through the creation of one or more common generic models that execute on a hardware accelerator, such as a FPGA. Additional aspects of the disclosure relate to the creation of an accelerated machine learning model. The accelerated machine learning model is created by identifying common portions of a machine learning model that can be leveraged by a plurality of different machine learning models. Still further aspects of the disclosure relate to training scenario specific machine learning models for use with an accelerated machine learning model.
A method for processing input data using one or more accelerated machine learning models and one or more scenario specific machine learning models, the method comprising:
A system comprising:
A computer storage medium comprising computer executable instructions that, when executed by at least one processor, performs a method comprising:
Dependencies are inferred from the claim text.