METHOD FOR AUTOMATIC DATA AUGMENTATION AND ELECTRONIC DEVICE

Abstract

A method for automatic data augmentation, including: determining a plurality of hyper-parameters corresponding to a plurality of sub-models using a central processing unit (CPU); training the plurality of sub-models based on the plurality of hyper-parameters using a plurality of storage devices and a plurality of graphics processing units (GPUs); and updating at least one sub-model from among the trained plurality of sub-models and at least one hyper-parameter corresponding to the updated at least one sub-model using the CPU, wherein the plurality of sub-models are trained for a first predetermined number of epochs, and wherein, during each epoch, the training includes: preprocessing an original dataset based on the plurality of hyper-parameters to generate a plurality of preprocessed datasets corresponding to the plurality of hyper-parameters using the plurality of storage devices; and training the plurality of sub-models based on the plurality of preprocessed datasets using the plurality of GPUs.

CPC Classifications