Deep learning online coding method and system
A technology of deep learning and coding methods, applied in the direction of neural learning methods, code compilation, intelligent editor, etc., can solve the problem of low security of online coding methods
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Embodiment 1
[0027] According to the embodiments of the present application, a deep learning online coding method is provided, such as figure 1 As shown, the method includes:
[0028] Step S102, providing data sets in the data mart for browsing.
[0029] Data sets are a necessary element in deep learning. As the core dependency of programming, the previous programming platforms only provided online coding functions, but did not provide data sets. This would lead to developers need to collect data sets by themselves, resulting in a lot of time. Spending on dataset collection and preparation, which in turn leads to inefficient algorithm development and distracts developers.
[0030] The embodiments of the present application directly provide data sets related to various topics on the programming platform (deep learning online coding system) to form a data mart, and developers do not need to repeatedly prepare data sets, thereby improving development efficiency, and the platform The same da...
Embodiment 2
[0047]According to the embodiments of the present application, a data set preparation method is provided, such as Figure 2A As shown, the method includes:
[0048] Step S202, classify the data to form a data set.
[0049] For example, the sample pictures can be classified into a face stain dataset, a face wrinkle dataset, a tongue dataset, a tongue coating type dataset, a dish classification dataset, or a makeup classification dataset.
[0050] Each data set has a corresponding details page to describe it, including: overview, description, classification data, data set segmentation rules, sample display, and associated rankings. In this way, algorithm developers can clearly understand the purpose and usage rules of this dataset.
[0051] Step S204, forming a data mart according to the data set.
[0052] Data marts are aggregations of datasets. Datasets can be categorized by organizing datasets in groups, such as popular datasets, recent datasets, and other groups. For ex...
Embodiment 3
[0059] In addition to providing data sets, in order to concentrate on solving some current important or urgent problems in the industry, the embodiments of the present application design a ranking task on the platform.
[0060] According to an embodiment of the present application, a method for generating a ranking task is provided, such as Figure 3A As shown, the method includes:
[0061] Step S302, providing a description of the ranking task.
[0062] The ranking task is an algorithm requirement initiated to solve a problem, and it relies on one or more data sets in the data mart.
[0063] Describe the task in the ranking task, for example, the goal, type, effective time of the task, output format of the algorithm result, evaluation criteria, incentive mechanism, etc.
[0064] Step S304, publishing a ranking task for developers to participate in.
[0065] After the ranking task is released, the algorithm developer can participate in the ranking, that is, select the ranki...
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