Unlock instant, AI-driven research and patent intelligence for your innovation.

Deep neural network training method, system, device, equipment and medium

A technology of deep neural network and training method, which is applied in the direction of neural learning method, biological neural network model, multi-programming device, etc., and can solve problems such as low parallelism, poor applicability, and high power consumption

Pending Publication Date: 2022-03-04
GUANGDONG INSPUR BIG DATA RES CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the training process of the deep neural network has the disadvantages of high power consumption and low parallelism, and poor applicability

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Deep neural network training method, system, device, equipment and medium
  • Deep neural network training method, system, device, equipment and medium
  • Deep neural network training method, system, device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0043] see figure 1 , figure 1 It is a flow chart of a deep neural network training method provided by the embodiment of this application.

[0044] A deep neural network training method provided in an embodiment of the present application, applied to a connector, may include the following steps:

[0045] Step S101: Obtain the deep neural network training task sent by the deep learning framework.

[0046] In practical applications, the connector can first obtain the deep neural ne...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a deep neural network training method, system, device and equipment, and a computer medium, which are applied to a connector, and are used for obtaining a deep neural network training task sent by a deep learning framework; and transmitting the deep neural network training task to the target FPGA through the nGraph framework, so that the target FPGA executes the deep neural network training task. In the application, the connector can send the deep neural network training task sent by the deep learning framework to the target FPGA for execution by means of the nGraph framework, deep neural network training can be completed in a low-power-consumption and high-parallel manner, and the applicability is good. The deep neural network training system, device and equipment and the computer readable storage medium provided by the invention also solve the corresponding technical problems.

Description

technical field [0001] The present application relates to the technical field of deep learning, and more specifically, to a deep neural network training method, system, device, equipment and medium. Background technique [0002] In the past few years, deep neural networks (DNNs) have gained a wide range of applications, including image and video classification, speech recognition, and language translation. However, as DNNs are more and more widely developed and used, the model size becomes larger and larger, making efficient model training more important. The emergence of deep learning frameworks such as tensorflow and pytorch, as well as various hardware accelerators such as GPU and ASIC chips, have made great contributions to the improvement of neural network training performance. However, the training process of deep neural networks has the disadvantages of high power consumption and low parallelism, and poor applicability. [0003] To sum up, how to improve the applica...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06F9/50
CPCG06N3/08G06F9/5061Y02D10/00
Inventor 曹芳李仁刚赵雅倩郭振华王丽高开
Owner GUANGDONG INSPUR BIG DATA RES CO LTD