23-05-2019 дата публикации
Номер: US20190156246A1
A provider network implements a machine learning deployment service for generating and deploying packages to implement machine learning at connected devices. The service may receive from a client an indication of an inference application, a machine learning framework to be used by the inference application, a machine learning model to be used by the inference application, and an edge device to run the inference application. The service may then generate a package based on the inference application, the machine learning framework, the machine learning model, and a hardware platform of the edge device. To generate the package, the service may optimize the model based on the hardware platform of the edge device and/or the machine learning framework. The service may then deploy the package to the edge device. The edge device then installs the inference application and performs actions based on inference data generated by the machine learning model. 1. A system , comprising: [ an inference application, wherein the inference application comprises one or more functions configured to perform one or more actions based on inference data generated by a machine learning model;', 'a machine learning framework to be used by the inference application, wherein the machine learning framework is configured to run at least a portion of a machine learning model;', 'the machine learning model to be used by the inference application, wherein the machine learning model is configured to generate the inference data based on collected data; and', 'at least one connected device of a remote network to run the inference application;, 'receive an indication of, 'generate a package based at least on the inference application, the machine learning framework, and the machine learning model; and', 'deploy the package to the at least one connected device., 'one or more computing devices of a provider network comprising respective processors and memory to implement a machine learning deployment ...
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