Method and user interface for training artificial neural network models in environment including multiple computing nodes

Abstract

Disclosed is a method training an artificial neural network model performed by a computing device according to an exemplary embodiment of the present disclosure. According to the present disclosure, the computing device identifies a first computing node and a second computing node for training an artificial neural network model, acquires information related to a first task for training the artificial neural network model, based on a user input, and dynamically allocates the first task to at least one of the first computing node or the second computing node, and the first computing node includes one or more local computing resources of the user and the second computing node includes one or more cloud computing resources.