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Encoder training and representation information extraction method and device

A training method and encoder technology, which is applied in the field of encoder training and representation information extraction, can solve the problems of a large amount of manpower and inconvenient promotion, and achieve the effect of improving effectiveness, improving training efficiency and effect, and wide application range

Active Publication Date: 2019-07-12
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] Since the traditional manual feature extraction requires a lot of manpower and relies on very professional knowledge, at the same time, it is not easy to promote, so representation learning came into being

Method used

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  • Encoder training and representation information extraction method and device
  • Encoder training and representation information extraction method and device
  • Encoder training and representation information extraction method and device

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Embodiment Construction

[0054] In order to make the purpose, technical solutions and beneficial effects of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0055] First of all, some terms involved in the embodiments of the present application are described to facilitate the understanding of those skilled in the art.

[0056]Machine Learning: It is mainly to design and analyze some algorithms that allow computers to "learn" automatically. Machine learning algorithm is a kind of algorithm that automatically analyzes and obtains laws from data, and uses the laws to predict unknown data. Because a large number of statistical theories are involved in learning algorithms, machine learning is particularly closely related t...

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Abstract

The invention belongs to the technical field of data processing, and discloses an encoder training and representation information extraction method and device. The encoder training and representationinformation extraction method comprises: aiming at the original sample data and at least two pieces of loss data of the original sample data, obtaining corresponding coding characteristics by adoptingencoders with the same model parameters respectively, decoding the characteristics by adopting corresponding decoders, and obtaining predicted loss based on the coding characteristics, the original sample data and the decoding characteristics; and if the prediction loss meets a preset convergence condition, initializing a target encoder by adopting the model parameters, and obtaining representation information of the data by adopting the target encoder. Thus, the training efficiency and effect of encoder training are improved, and the effectiveness of extracted representation information extraction is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a method and device for encoder training and representation information extraction. Background technique [0002] Machine learning: It is a kind of algorithm that automatically analyzes and obtains laws from data, and uses the laws to predict unknown data. Because a large number of statistical theories are involved in machine learning algorithms, machine learning is particularly closely related to inferential statistics, also known as statistical learning theory. algorithm design. Machine learning is the core of artificial intelligence and the fundamental way to make computers intelligent. Its application pervades all fields of artificial intelligence. It mainly uses induction and synthesis rather than deduction. [0003] Machine learning tasks, such as classification problems, often require inputs that are mathematically or computationally tractable. However...

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Application Information

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IPC IPC(8): G06K9/62G06N20/00
CPCG06N20/00G06F18/214
Inventor 焦剑波暴林超魏云超石宏辉刘永雄刘威黄煦涛
Owner TENCENT TECH (SHENZHEN) CO LTD
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