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Method and system for constructing neural network model

A neural network model and model training technology, applied in the field of building neural network models, can solve the problem of high professional requirements for algorithm engineers

Inactive Publication Date: 2020-01-14
DATACANVAS LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present invention provides a method and system for constructing a neural network model to solve the problem in the prior art that the neural network model is constructed by encoding, which requires high professional requirements for algorithm engineers

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  • Method and system for constructing neural network model
  • Method and system for constructing neural network model
  • Method and system for constructing neural network model

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Embodiment Construction

[0136] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0137] The embodiment of the present invention provides a method for constructing a neural network model.

[0138] Wherein, the method for constructing a neural network model provided by the present invention can be applied to a data analysis system.

[0139]Among them, in order to realize the encapsulation of the underlying details and obtain better compatibility, the present invention preferably uses the Keras, TensorFlow, Torch and / or PyT...

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Abstract

The invention provides a method and a system for constructing a neural network model. The method comprises the following steps: displaying a user interface comprising at least two components; receiving a first input executed by a user in the user interface; in response to the first input, constructing a first neural network model within the user interface. According to the method, the use threshold of the neural network can be reduced. The method is convenient for users to use, users who cannot write codes can also construct, train and use the neural network model, the users can have more intuitive understanding and deepen understanding on the neural network, and the users can conveniently and quickly master the neural network model.

Description

technical field [0001] The invention relates to the field of big data processing, in particular to a method and system for constructing a neural network model. Background technique [0002] With the rise of deep learning, neural network has the advantages of not needing feature engineering for original data, short prediction time and high prediction accuracy of neural network model after full training. Problem areas, such as NLP (Natural Language Processing, natural language processing), CV (Computer Vision, computer vision), automatic driving, face recognition and other scenes have good performance. However, compared with traditional rule-based machine learning algorithms, neural network algorithms directly obtain "knowledge" from raw data, resulting in long model training time and relatively poor model interpretability. [0003] In existing data analysis systems, relatively complex coding is required to construct a neural network, and complex parameters need to be adjuste...

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Application Information

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IPC IPC(8): G06N3/063G06N3/08
CPCG06N3/063G06N3/08G06N3/065
Inventor 刘汶成武华亭
Owner DATACANVAS LTD
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