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Typical Service Process
The Atlas data center training solution uses a deep learning system, Benchmark, or MindStudio to develop and train models. Figure 10-1 shows the typical service process of the deep learning platform.
Table 10-1 Basic
Task |
Description |
|---|---|
Data Preparation |
Data preparation is the basis of AI development. It includes data collection and data labeling. The most important thing is to ensure the authenticity and reliability of obtained data. You can select an open-source tool or a self-developed labeling tool as required. The data preparation process is as follows:
|
Model development/training/evaluation |
|
Model deployment |
Model development and training are based on existing data (maybe test data). After a satisfactory model is generated, the model needs to be applied to formal actual data or newly generated data for prediction and evaluation, or provide high-value information in the data to decision makers in an easy-to-understand manner in the form of visualization and reports to help them develop more correct business strategies. |
