公开(公告)号：US20230186080A1

公开(公告)日：2023-06-15

申请号：US17936975

申请日：2022-09-30

Applicant: Intel Corporation

Inventor： Anthony Rhodes ,  Hong Lu ,  Jose Lopez ,  Lama Nachman

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: Data analysis and neural network training technology includes generates, based on a sparse neural network, a feature selection ranking representing a ranked list of features from input data, where the sparse neural network is a shallow neural network trained with the input data and then pruned, generates, based on the sparse neural network, a feature set dictionary representing interactions among features from the input data, and performs, based on the feature selection ranking and the feature set dictionary, one or more of generating an output analysis of insights from the input data and the sparse neural network, or training of a second neural network. The technology can also adjust the input data based on the feature set ranking to produce adjusted input data, where the sparse neural network is re-trained based on the adjusted input data and then pruned prior to generating the feature set dictionary.