Electronic device, multi-model sample training method and computer readable storage medium
An electronic device and sample training technology, which is applied in computing, computing models, machine learning, etc., can solve the problems of model work progress, spending too much time on repeated training, etc.
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[0045] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0046] Such as figure 1 as shown, figure 1 It is a schematic flowchart of an embodiment of the multi-model sample training method of the present invention.
[0047] In this embodiment, the multi-model sample training method includes:
[0048] Step S10, receiving the sample data uploaded by the user, and determining the data attributes of the sample data, the data attributes including type and quantity;
[0049] After the user uploads the sample data, the system receives the sample data and analyzes its data attributes to determine the type and quantity of the sample data. Among them, the type of sample data mainly includes image data and data that predicts continuous values (such as stock market quotations). In...
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