Networked machine learning system
A technology of machine learning and machine learning models, which is applied in the field of networked machine learning systems, can solve problems such as slow learning speed, poor generalization ability, and no connection, and achieve the effect of improving learning speed and improving the ability to adapt to different scenarios
Inactive Publication Date: 2018-05-01
SICHUAN JIUZHOU ELECTRIC GROUP
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AI Technical Summary
Problems solved by technology
[0004] The invention provides a networked machine learning system, which solves the problems of slow learning speed, no connection between machines, low performance, and poor generalization ability in existing machine learning. The same model is tested for various application scenarios and data to improve performance
Method used
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Experimental program
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Embodiment Construction
[0012] The invention provides a networked machine learning system, which solves the problems of slow learning speed, no connection between machines, low performance, and poor generalization ability in existing machine learning. The same model is tested on various application scenarios and data to improve performance.
[0013] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with specific embodiments. It should be noted that, under the condition of not conflicting with each other, the embodiments of the present application and the features in the embodiments can be combined with each other.
[0014] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from the scope of this description. Therefo...
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The invention discloses a networked machine learning system, the system comprises respectively independent machine learning models, the machine learning models run on devices interconnected in the system, when the model on one device in the system performs training or testing, the device refers to the models, model parameters and data provided by the other devices in the system to improve performance of the local model, or directly uses the models, the parameters and the data provided by the other models under the condition of the absence of the local model; each device in the system can be invited to upload or actively upload the models, the parameters and the data used locally; the local model of the device in the system can actively provide test data, seek the models and the model parameters for completing the test from the other devices of the system, thus, a speed of learning is increased, the same model is suffered from check of various application scenes and data and consequently performance is improved.
Description
technical field [0001] The present invention relates to the field of machine learning, in particular to a networked machine learning system. Background technique [0002] The new generation of artificial intelligence technology represented by deep learning is becoming popular all over the world and has become a new outlet, and is widely used in image, natural language, financial securities and other fields. However, whether it is based on a deep model or a traditional shallow model, it follows the process of data collection, local training, and testing to finally obtain a model, and then use this model to solve practical problems. Generally, it is only trained on a single machine. Even if there is distributed training, it is only a training task assigned to multiple machines, and there is no automatic external communication mechanism in the whole process. [0003] Therefore, the existing machine learning system is relatively closed, the learning speed is slow, there is no c...
Claims
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CPCG06N20/00
Inventor 李红波罗鹏邱吉刚吴新勇柳春青
Owner SICHUAN JIUZHOU ELECTRIC GROUP