Compressed data analysis method and device, storage medium and terminal

The invention discloses a compressed data analysis method and device, a storage medium and a terminal, and the method comprises the steps: obtaining target data, and compressing the target data to generate compressed data; inputting the compressed data into a pre-trained compressed data analysis model, wherein the pre-trained compressed data analysis model is generated after different normalization modules and feature constraint modules are selected from selective batch normalization modules to be trained on the basis of compression levels after training data compression; and outputting an analysis result corresponding to the target data. Therefore, according to the embodiment of the invention, the neural network is combined with the selective batch normalization module and the feature constraint module to analyze the compressed data, so that the analysis performance of the model is improved, and the accuracy of the analysis result is further improved. 本发明公开了一种压缩数据分析方法、装置、存储介质及终端，该方法包括：获取目标数据，并将所述目标数据进行压缩后生成压