一种基于变分自编码器的训练样本数据扩充方法、存储介质及计算机设备

摘要

A training sample data augmentation method based on a variational autoencoder, a storage medium and a computer device, related to the technical field of big data, the method comprising: obtaining an original sample (S102); inputting the original sample into an encoder of a variational autoencoder, the encoder of the variational autoencoder comprising two neural networks (S104), the two neural networks respectively outputting μ and σ, μ and σ each comprising a function of the original sample; in accordance with the square of μ and σ, i.e., σ