Neural network model training method, data processing method and related products

A neural network model and network model technology, applied in biological neural network models, neural learning methods, etc., can solve the problem of high energy efficiency of processors, reduce processing efficiency, reduce the amount of data and computing, and save storage space. Effect

Pending Publication Date: 2020-05-08
SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In the traditional neural network model, the amount of data that needs to be processed is increasing, so the energy efficiency of the processor in the data processing and calculation process is high.

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  • Neural network model training method, data processing method and related products
  • Neural network model training method, data processing method and related products
  • Neural network model training method, data processing method and related products

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Embodiment Construction

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present disclosure.

[0060] It should be understood that the terms "first", "second", "third" and "fourth" in the specification and drawings of the present disclosure are used to distinguish different objects, rather than to describe a specific order. The terms "comprising" and "comprises" used in the specification and claims of this disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or more other features, intege...

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Abstract

The invention relates to a neural network model training method, a data processing method and related products. The method comprises the steps of obtaining an initial network model, wherein the initial network model is a neural network model; inputting training data into the initial network model for training to obtain a target network model, wherein the training data comprises at least one of voice data, text data and image data. By adopting the method, the processing efficiency of voice data, text data and image data can be improved, and the power consumption of the processor is reduced.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a neural network model training method, data processing method and related products. Background technique [0002] With the development of neural network technology, the deep learning framework (Caffe) has been widely used. [0003] After training, the Caffe-based neural network model can process data such as images, voices, and texts to obtain the required recognition results, such as recognizing images to obtain image features, and recognizing voices to obtain control instructions. In the traditional neural network model, the amount of data that needs to be processed is increasing, so the energy efficiency overhead of the processor in the data processing and calculation process is large. Contents of the invention [0004] Based on this, it is necessary to provide a neural network model training method, a data processing method, a device, a processor, a chip, a bo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08
CPCG06N3/08
Inventor 不公告发明人
Owner SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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