MACHINE LEARNING MODEL COMPILER

The disclosure relates to a machine learning model compiler. The subject technology provides a framework for executable machine learning models that are executable in a zero-runtime operating environment. This allows the machine learning models to be deployed in limited memory environments such as e...

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Bibliographische Detailangaben
Hauptverfasser:	FOGAL THOMAS, HOFLEHNER GEROLF F, NEMET ADAM
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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Beschreibung
Zusammenfassung:	The disclosure relates to a machine learning model compiler. The subject technology provides a framework for executable machine learning models that are executable in a zero-runtime operating environment. This allows the machine learning models to be deployed in limited memory environments such as embedded domains. The machine learning compiler is provided to generate the executable machine learning models. 本公开涉及机器学习模型编译器。本主题技术提供了一种用于可在零运行时操作环境中执行的可执行机器学习模型的框架。这允许机器学习模型部署在有限的存储器环境诸如嵌入式域中。提供机器学习编译器以生成可执行机器学习模型。