METHOD FOR GENERATE A DEEP LEARNING MODEL USING LAYER BLOCKS

摘要

The present disclosure relates to a deep learning generation method using a layer block. The deep learning generation method using a layer block includes, in an electronic device having a display, one or more processors, and a memory, displaying a user interface screen on a display, and one candidate block among a plurality of candidate blocks included in a first area. Detecting a first user input for moving from the first area to the second area after selecting, and in response to detecting the first user input, moving one selected candidate block from the first area to the second area And changing the first deep learning model by associating the moved one candidate block with at least some of the plurality of blocks included in the second region. Here, the user interface screen includes a first region including a plurality of candidate blocks representing a plurality of layers provided by the deep neural network framework, and a plurality of blocks representing a plurality of layers included in the first deep learning model. It may include a second area.