SYSTEM AND METHOD FOR PROVIDING PATTERN RECOGNIZATION OF SMART DEVICE SENSING DATA USING SEPARABLE TRANSFER LEARNING BASED ARTIFICIAL NEURAL NETWORK

摘要

Disclosed is a computing system that provides pattern recognition of smart device sensing data using machine learning-based artificial intelligence. The computing system may include at least one processor; a first artificial neural network for pre-training a first phase task based on a first dataset selected from a reference dataset including sensing data of a smart device; a second artificial neural network for pre-training a task of a second phase based on a second dataset selected from among the reference datasets; and a target artificial neural network for training a target task based on a target dataset selected from the reference dataset, wherein the at least one processor is configured to perform a first phase layer of the first artificial neural network after pre-training the first artificial neural network. transfer the parameters of to the first phase layer of the target artificial neural network, and after the pre-training of the second artificial neural network, the parameters of the second phase layer of the second artificial neural network are transferred to the second phase layer of the target artificial neural network , and after transitioning the parameters of the first phase layer of the first artificial neural network and the parameters of the second phase layer of the second artificial neural network, the target artificial neural network fine-tuning the target task. control to do