文件名称:WorkshopAML2020:云研讨会Azure ML 2020
文件大小:10.1MB
文件格式:ZIP
更新时间:2024-02-25 01:35:37
jupyter-notebook python3 azuremlservice JupyterNotebookJupyterNotebook
WorkshopAML2020 云研讨会Azure ML 2020 Azure ML的演示材料。 介绍 实验 记录信息 自动语言 Azure ML计算 流水线 可解释性 TensorFlow / GPU 超参数调整TensorFlow 超级驱动器 ACI / AKS部署 研讨会视频: : Azure ML服务: : Serge Retkowsky | |
【文件预览】:
WorkshopAML2020-master
----score_local_explain.py(1KB)
----20news.pkl(5.35MB)
----train.py(2KB)
----8 Interpr倀ation des mod妉es.ipynb(5.16MB)
----1 Introduction Azure ML.ipynb(369KB)
----14. Scikit Learn hyperdrive.ipynb(66KB)
----6 Onnx ACI.ipynb(94KB)
----score.py(1KB)
----presentations()
--------0. Introduction.pdf(1.46MB)
--------1. Workshop Azure ML.pdf(3.88MB)
----donnees()
--------diabetes.csv(506KB)
--------diabetes2.csv(253KB)
----utils.py(815B)
----Pollution.csv(23KB)
----model.pkl(210KB)
----tf-resume-training()
--------tf_mnist_with_checkpoint.py(5KB)
--------utils.py(912B)
----0 Configuration.ipynb(88KB)
----dominicks_OJ.csv(4.88MB)
----4 AutoML Forecast.ipynb(138KB)
----Titanic.csv(59KB)
----metrics_helper.py(604B)
----3 AutoML Regression.ipynb(128KB)
----12 D俻loiement AKS.ipynb(28KB)
----scoring_explainer.pkl(476KB)
----modelenotebook1.pkl(645B)
----WA_Fn-UseC_-HR-Employee-Attrition.csv(221KB)
----tf_horovod_word2vec.py(10KB)
----tf_mnist.py(4KB)
----10 Hyperparameter Tuning TF.ipynb(366KB)
----README.md(638B)
----sklearnregressionmodel.pkl(658B)
----5 AML Compute.ipynb(89KB)
----11 TensorFlow GPU.ipynb(1.14MB)
----actuals_vs_predictions.png(24KB)
----sklearn_regression_model.pkl(658B)
----13 Tensor Flow horovod.ipynb(97KB)
----myenv.yml(172B)
----credit.csv(53KB)
----9 Deep Learning.ipynb(62KB)
----Postman()
--------Workshop AML.postman_collection.json(1KB)
--------readme.md(45B)
----train_aml.py(2KB)
----7 Pipelines avec Azure ML.ipynb(53KB)
----forecasting_helper.py(4KB)
----boston_model.pkl(784B)
----2 AutoML Classification.ipynb(154KB)