Target data feature extraction method and device

Abstract

In a target data feature extraction method, a feature vector of target data is extracted, initial unit data and initial hidden data of a predetermined neural network are determined, and the feature vector, initial unit data and initial hidden data are inputted to the predetermined neural network for processing to update unit data and hidden data of the predetermined neural network, and the updated hidden data are stored. The updated unit data and hidden data are again inputted to the predetermined neural network for processing, recursive processing of the update is performed for predetermined processing times, and the updated hidden data after update each time are stored. Multiple sets of hidden data stored after the predetermined processing times are merged, and outputted as a target data feature. The application can achieve extraction of target data features in an LSTM network by a single deduction method.

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