Calculation method using pixel-channel shuffle convolutional neural network and operating system using the same

An operating system using a pixel-channel shuffle convolutional neural network, comprising:

• a processor, and a communication circuit and a memory that are electrically connected with the processor;
• wherein the processor performs a calculation method using the pixel-channel shuffle convolutional neural network, comprising:
• receiving an original input data that is a value with a length, a width and a depth;
• performing a pixel shuffle operation on the original input data, in which the original input data is separated into multiple values for reducing dimension of each of the values;
• performing a channel shuffle operation on the multiple values for selecting values used in a convolution operation from each of the multiple values so as to form multiple new input data;
• setting up convolution kernels with respect to the multiple new input data, wherein a second amount of convolution kernels are included, and each of the convolution kernels implements a filter;
• and
• by a multiplier-accumulator of the processor, performing the convolution operation with the second amount of convolution kernels and the multiple new input data, so as to form a second amount of multiple output data.