Method of compressing neural network model and electronic apparatus for performing the same

An electronic apparatus for compressing a neural network model, comprising:

• a communication interface, configured to send and receive data via a data network, including at least one communication circuit;
• a non-transitory memory configured to store at least one operation instruction;
• and
• a processor,
• wherein execution of the at least one operation instruction causes the processor to:
• receive a trained model and compression method instructions for compressing the trained model;
• identify a compressible block and a non-compressible block among a plurality of blocks included in the trained model based on the compression method instructions;
• transmit a command to a user device via the communication interface that results in the user device:
• displaying a structure of the trained model representing a connection relationship between the plurality of blocks on a first screen such that the compressible block and the non-compressible block are visually distinguished, and
• displaying an input field operable to receive a parameter value for compression of the compressible block on a second screen;
• and
• compressing the trained model based on the parameter value entered by the user in the input field.