System and method using separable transfer learning-based artificial neural network

Abstract

Disclosed herein is a computing system using machine learning-based artificial intelligence. The computing system includes at least one processor, a first artificial neural network configured to pre-train on a first phase task based on a first dataset, a second artificial neural network configured to pre-train on a second phase task based on a second dataset, and a target artificial neural network configured to train on a target task based on a target dataset. The at least one processor transfers the parameter of the first phase layer of the first artificial neural network to the first phase layer of the target artificial neural network, transfers the parameter of the second phase layer of the second artificial neural network to the second phase layer of the target artificial neural network, and performs control so that the target artificial neural network performs fine-tuning training on the target task.