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快速入门 — Neural Network Intelligence MNIST 上的 "Hello World" NNI 是一个能进行自动机器学习实验的工具包。 它可以自动进行获取超参、运行 Trial，测试结果，调优超参的循环。 在这里，将演示如何使用 NNI 帮助找到 MNIST 模型的最佳超参数。 这是还 没有 NNI 的示例代码，用 CNN 在 MNIST 数据集上训练：
NNI Documentation — Neural Network Intelligence Training service aims to make the tuning process easily scalable in a distributed platforms It provides a unified user experience for diverse computation resources (e g , local machine, remote servers, AKS) Currently, NNI supports more than 9 kinds of training services
How to Debug in NNI — An open source AutoML toolkit for neural . . . In addition to experiment level debug, NNI also provides the capability for debugging a single trial without the need to start the entire experiment Refer to standalone mode for more information about debug single trial code
Web 界面 — Neural Network Intelligence Web portal 为用户提供了便捷的可视化页面，用户可以在上面观察 NNI 实验训练过程、详细的 metrics 以及实验的 log 和 error。 当然，用户可以管理实验，调制 trials 比如修改实验的 concurrency 值，时长以及重跑一些 trials。
nnictl Commands — Neural Network Intelligence You can use this command to import several prior or supplementary trial hyperparameters results for NNI hyperparameter tuning The data are fed to the tuning algorithm (e g , tuner or advisor)