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Neuromorphic apparatus and method for implementing neural network using the neuromorphic apparatus

A neural network and training image technology, applied in the field of neural network, can solve problems such as ineffective processing

Pending Publication Date: 2021-12-24
SAMSUNG ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, such electronic systems may not be able to efficiently handle operations such as analyzing large amounts of input image data in real time and extracting desired information using memory-based neural networks.

Method used

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  • Neuromorphic apparatus and method for implementing neural network using the neuromorphic apparatus
  • Neuromorphic apparatus and method for implementing neural network using the neuromorphic apparatus
  • Neuromorphic apparatus and method for implementing neural network using the neuromorphic apparatus

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Embodiment Construction

[0081] The following detailed description is provided to assist the reader in gaining an overall understanding of the methods, devices and / or systems described herein. However, various changes, modifications and equivalents of the methods, apparatus and / or systems described herein will be apparent after understanding the disclosure of the present application. For example, the order of operations described herein are examples only, and are not limited to those orders set forth herein, but, except for operations that must occur in a particular order, may be changed as will become apparent after understanding the disclosure of the present application. . Also, descriptions of features that are known in the art after understanding the disclosure of the present application may be omitted for increased clarity and conciseness.

[0082] Reference will now be made in detail to embodiments, examples of which are illustrated in the accompanying drawings, wherein like reference numerals ...

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Abstract

Disclosed are a neuromorphic apparatus and method for implementing a neural network using the neuromorphic apparatus. The processor-implemented neural network implementation method includes: learning each of first layers included in a neural network according to a first method; learning at least one second layer included in the neural network according to a second method; and generating output data from input data by using the learned first layers and the learned at least one second layer.

Description

[0001] This application claims the benefit of Korean Patent Application No. 10-2020-0077376 filed with the Korean Intellectual Property Office on June 24, 2020, the entire disclosure of which is hereby incorporated by reference for all purposes. technical field [0002] The present disclosure relates to a neuromorphic device and method of training a neural network for image recognition. Background technique [0003] Memory-based neural network devices represent computational architectures that mimic biological brains. Electronic systems can use memory-based neural networks to analyze incoming image data and extract useful information (eg, perform image recognition). [0004] However, such electronic systems may not be able to efficiently handle operations such as analyzing a large amount of input image data in real time using a memory-based neural network and extracting desired information. Contents of the invention [0005] This Summary is provided to introduce a selecti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G06K9/00
CPCG06N3/084G06N3/088G06N3/045G06F18/00G06N3/048G06N3/044G06N3/082G06N3/065G06N3/04
Inventor 金炫秀
Owner SAMSUNG ELECTRONICS CO LTD