公开(公告)号：US11803744B2

公开(公告)日：2023-10-31

申请号：US16730459

申请日：2019-12-30

Applicant: LG Electronics Inc.

Inventor： Byoung Jo Kim ,  Sang Chul Kim

IPC: G06N3/08 ,  G06F7/485 ,  G06F7/487 ,  G06F7/552

CPC classification number: G06N3/08 ,  G06F7/485 ,  G06F7/4876 ,  G06F7/5525

Abstract: Disclosed is a neural network learning apparatus for deep learning and a method thereof. A neural network learning apparatus for deep learning according to an embodiment of the present disclosure includes an input interface, a memory, and a learning processor for applying a Gradient Descent algorithm to a neural network model, and the learning processor may transform a cumulative change function of the gradient for an error function into an inverse square root function in the Gradient Descent algorithm, and operate an inverse square root approximate value by using a Newton-Raphson method for the transformed inverse square root function. The neural network learning apparatus for deep learning of the present disclosure may be connected or converged with an Artificial Intelligence module, an Unmanned Aerial Vehicle (UAV), a robot, an Augmented Reality (AR) apparatus, a Virtual Reality (VR), or a 5G network service-related apparatus, etc.