simple-python-db-app/ │── app/ # Flask backend │ ├── init.py # create_app() with routes + DB init │ ├── models.py # SQLAlchemy models (User, Item, etc.) │ ├── db.py # SQLAlchemy instance │ └── ...

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{'loss': 0.06489456, 'grad_norm': 0.164021, 'learning_rate': 3.4e-07, 'token_acc': 0.84097646, 'epoch': 0.07, 'global_step/max_steps': '160/4634' , 'percentage': '3. ...

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IntroductionZscaler ThreatLabz regularly monitors for threats in the popular Python Package Index (PyPI), which contains open source libraries that are frequently used by many Python developers. In ...

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大家已经很熟悉KG的建构和GNN模型的训练工作了。一旦训练好了GNN模型，接着进入模型的部署和运行（推理）阶段了。首先，来介绍一项热门的部署模式，就是：BYOM（Bring Your Own Model）。这BYOM（自带模型）的涵意，即是：把您自己训练好的模型，带到最接近数据、最贴近用户的地方、并展现最佳推理效能。

那么在本篇文章中将带着大家从零开始进行Demo的烧录（测试意图）、模型训练，转换成C 语言数组。然后到模型的部署，最终实现和模型一样的效果。阅读这篇文章你最好具备一些基础的Machine learning和Deep learning知识。