GENERATING AND TRAINING MACHINE LEARNING SYSTEMS USING STORED TRAINING DATASETS

Systems and methods for generating and training machine learning systems using stored training datasets are disclosed. In an embodiment, a machine learning server computer stores a plurality of machine learning training datasets, each machine learning training dataset of the plurality of machine lea...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser:	Biswas, Shuvro, Hosoai, Yutaka, Lawton, Paddy
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	Systems and methods for generating and training machine learning systems using stored training datasets are disclosed. In an embodiment, a machine learning server computer stores a plurality of machine learning training datasets, each machine learning training dataset of the plurality of machine learning training datasets comprising input data and output data. The machine learning server computer displays, through a graphical user interface, a plurality of selectable options, each selectable option of the plurality of selectable options identifying a machine learning training dataset of the plurality of machine learning training datasets. The machine learning server computer receives a particular input dataset and a selection of a particular selectable option identifying a particular machine learning training dataset. The machine learning server computer trains a particular machine learning system using the particular machine learning training dataset. The machine learning server computer uses the particular input dataset as input into the particular machine learning system to compute a particular output dataset.