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Data processing method, prediction method, calculation device and storage medium for convolutional neural network

A convolutional neural network and data processing technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as low computing efficiency and speed bottlenecks, improve computing throughput, reduce occupied bandwidth, and compute The effect of high resource utilization

Pending Publication Date: 2021-06-11
SZ DJI TECH CO LTD
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  • Abstract
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  • Claims
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Problems solved by technology

The current Eltwise layer usually has low computational efficiency, making the ELTWISE layer a speed bottleneck in the network

Method used

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  • Data processing method, prediction method, calculation device and storage medium for convolutional neural network
  • Data processing method, prediction method, calculation device and storage medium for convolutional neural network
  • Data processing method, prediction method, calculation device and storage medium for convolutional neural network

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of this specification with reference to the drawings in the embodiments of this specification. Obviously, the described embodiments are part of the embodiments of this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this specification.

[0037] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

[0038] Some implementations of this specification will be described in detail below with reference to the accompanying drawings. In t...

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Abstract

The present specification discloses a data processing method, a prediction method, a calculation device and a storage medium for a convolutional neural network. The method comprises: acquiring operation configuration information (S110); reading first feature data and second feature data from the first feature map set and the second feature map set from the target memory according to the operation configuration information (S120); performing parallel computation processing on the first feature data and the second feature data according to a computation type specified by the computation configuration information (S130); storing the processing result in a target memory (S140).

Description

technical field [0001] This specification relates to the technical field of convolutional neural networks, and in particular to a data processing method, prediction method, computing device and storage medium for convolutional neural networks. Background technique [0002] With the advent of the era of big data, convolutional neural networks with more hidden layers have more complex network structures, and have stronger feature learning and feature expression capabilities than traditional machine vision methods. It is widely used in computer vision fields such as image classification, object detection, pose estimation, image segmentation and face recognition. [0003] Usually the convolutional neural network is composed of several pre-defined basic layers, including convolutional layer, activation layer, pooling layer, fully connected layer, etc. As the number of network layers increases, convergence becomes more and more difficult, and the accuracy rate There is also a rap...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 罗岚韩峰杨康
Owner SZ DJI TECH CO LTD
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