Method for processing batch-normalized data, electronic device and storage medium

An electronic device, comprising:

• a processor;
• and
• a memory configured to store an instruction that, when executed by the processor, causes the processor to perform the following operations including:
• inputting a plurality of sample data into a batch normalization (BN) layer in a target network to be trained for normalization to obtain a processing result of the BN layer, wherein the plurality of sample data are obtained by extracting features of a plurality of image data;
• performing a shift adjustment of initial BN on the processing result of the BN layer according to a specified constant shift to obtain a processing result of a post-shifted BN layer;
• and
• nonlinearly mapping the processing result of the post-shifted BN layer through a rectified linear unit (ReLU) of an activation layer, obtaining a loss function step by step and then carrying out back propagation to obtain a first target network.

A non-transitory computer-readable storage medium, having stored thereon a computer program instruction that, when executed by a processor, causes the processor to perform a method for processing batch-normalized data, the method comprising:

• inputting a plurality of sample data into a batch normalization (BN) layer in a target network to be trained for normalization to obtain a processing result of the BN layer, wherein the plurality of sample data are obtained by extracting features of a plurality of image data;
• performing a shift adjustment of initial BN on the processing result of the BN layer according to a specified constant shift to obtain a processing result of a post-shifted BN layer;
• and
• nonlinearly mapping the processing result of the post-shifted BN layer through a rectified linear unit (ReLU) of an activation layer, obtaining a loss function step by step and then carrying out back propagation to obtain a first target network.