Patent ID: 11907812
Assignee: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
Field: Measurement (Instruments)
Classification: CPC G  H | IPC G  H

Claim 21:
22. The method of claim 21, wherein the deep learning filter generation/learning step further includes a step of optimizing parameters of the deep learning filter to determine a three-dimensional atomic level structure, and
the optimizing step includes:
calculating an error by comparing the result output from the deep learning filter through forward-propagation based on the three-dimensional learning input data set with the three-dimensional target data set;
updating hyperparameters of the deep learning filter in a manner, in which the error is reduced, by calculating (back-propagation) a gradient of the error in a reverse direction (from an output layer to an input layer) based on the error; and
training the deep learning filter and optimizing the parameters of the filter to determine the three-dimensional atomic level structure, by repeating the process.