Deep learning platform and method
A deep learning and platform technology, applied in the direction of neural architecture, biological neural network model, etc., can solve the problems of high threshold of deep learning and complex process, achieve the effect of automation and informatization, simplify operation process, and improve production efficiency
Inactive Publication Date: 2019-03-08
SHENZHEN AUGMENTED REALITY TECH CO LTD
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[0004] In order to solve the technical problems of high threshold and complicated process of deep learning in related technologies, the present invention provides a deep learning platform and method
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[0048] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of systems and methods consistent with aspects of the invention as recited in the appended claims.
[0049] figure 1 is a block diagram of a deep learning platform 10 shown according to an exemplary embodiment, such as figure 1 As shown, the deep learning platform may include a dataset management module 110 and a dataset training management module 120 .
[0050] The data set management module 110 is configured to receive uploaded data and convert the uploaded data into a data set in a specific format.
[0051] The dataset training management module 120 is configured to perform deep learning training on the dataset and generate corresponding model files.
[0052] The...
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The invention discloses a deep learning platform and method, and belongs to the technical field of computer application, wherein the deep learning platform comprises a data set management module and adata set training management module, and the data set management module is used for receiving uploaded data and converting the uploaded data into a data set in a specific format; and the data set training management module is used for carrying out deep learning training on the data set to generate a corresponding model file. According to the invention, only a large amount of uploaded data needs to be received in advance; the model file can be automatically trained and constructed through deep learning by uploading the data, the whole training process does not need to be operated by technicians, the threshold of deep learning is greatly reduced, the operation process of the technicians is simplified, the automation and informatization of deep learning are achieved, and the production efficiency is improved.
Description
technical field [0001] The invention relates to the field of computer application technology, in particular to a deep learning platform and method. Background technique [0002] Deep learning is in the ascendant. With the continuous improvement of hardware performance, deep learning has been applied more and more in all walks of life. However, the whole process from problem definition to problem solving experience is not so simple. For example, when using deep learning to recognize the state of handle switches, it is first necessary to collect materials related to handle switches and start to mark them, then choose a deep learning algorithm framework, build a training environment, configure various parameters, and choose or write a A suitable neural network model starts training, and then performs deep learning based on the generated model file to identify the switch state of the handle. [0003] However, the requirements for technical personnel to fulfill this requirement...
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CPCG06N3/045
Inventor 徐泽明付自福王来华周军
Owner SHENZHEN AUGMENTED REALITY TECH CO LTD