Miguel GonzΓ‘lez-Fierro 2019-04-04 10:30:58 +01:00 ΠΊΠΎΠΌΠΌΠΈΡ‚ ΠΏΡ€ΠΎΠΈΠ·Π²Ρ‘Π» GitHub
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НС Π½Π°ΠΉΠ΄Π΅Π½ ΠΊΠ»ΡŽΡ‡, ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠΉ Π΄Π°Π½Π½ΠΎΠΉ подписи
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1 ΠΈΠ·ΠΌΠ΅Π½Ρ‘Π½Π½Ρ‹Ρ… Ρ„Π°ΠΉΠ»ΠΎΠ²: 1 Π΄ΠΎΠ±Π°Π²Π»Π΅Π½ΠΈΠΉ ΠΈ 1 ΡƒΠ΄Π°Π»Π΅Π½ΠΈΠΉ

ΠŸΡ€ΠΎΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ Ρ„Π°ΠΉΠ»

@ -25,7 +25,7 @@ git clone --recursive https://github.com/Microsoft/AIReferenceArchitectures.git
| Tutorial | Environment | Description | Status |
|----------------------------------------------|-------------|-----------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [Deploy Deep Learning Model on Kuberenetes](https://github.com/Microsoft/AKSDeploymentTutorialAML) | Python GPU | Deploy image classification model on Kubernetes for _real-time_ scoring | [![Build Status](https://dev.azure.com/customai/AKSDeploymentTutorialAML/_apis/build/status/Microsoft.AKSDeploymentTutorialAML?branchName=master)](https://dev.azure.com/customai/AKSDeploymentTutorialAML/_build/latest?definitionId=11&branchName=master) |
| [Deploy Classic ML Model on Kuberenetes](https://github.com/Microsoft/MLAKSDeployAML) | Python CPU | Deploy LightGBM model on Kubernetes for _real-time_ scoring | ![](https://dev.azure.com/customai/MLAKSDeployAMLPipeline/_apis/build/status/Microsoft.MLAKSDeployAML?branchName=master) |
| [Deploy Classic ML Model on Kubernetes](https://github.com/Microsoft/MLAKSDeployAML) | Python CPU | Deploy LightGBM model on Kubernetes for _real-time_ scoring | ![](https://dev.azure.com/customai/MLAKSDeployAMLPipeline/_apis/build/status/Microsoft.MLAKSDeployAML?branchName=master) |
| [Hyperparameter Tuning of Classical ML Models](https://github.com/Microsoft/MLHyperparameterTuning) | Python CPU | Run Hyperparameter tuning on LightGBM using Hyperdrive | ![](https://dev.azure.com/customai/MLHyperparameterTuningPipeline/_apis/build/status/Microsoft.MLHyperparameterTuning?branchName=master) |
| [Deploy Deep Learning Model on Pipelines](https://github.com/Azure/Batch-Scoring-Deep-Learning-Models-With-AML) | Python GPU | Deploy style transfer model for _batch_ scoring using Azure ML Pipelines | [![Build Status](https://dev.azure.com/customai/BatchScoringDeepLearningModelsWithAMLPipeline/_apis/build/status/Azure.Batch-Scoring-Deep-Learning-Models-With-AML?branchName=master)](https://dev.azure.com/customai/BatchScoringDeepLearningModelsWithAMLPipeline/_build/latest?definitionId=9&branchName=master) |
| [Deploy Classic ML Model on Pipelines](https://github.com/Microsoft/AMLBatchScoringPipeline) | Python CPU | Deploy one-class SVM for _batch_ scoring anomaly detection using Azure ML Pipelines | ![](https://dev.azure.com/customai/AMLBatchScoringPipeline/_apis/build/status/Microsoft.AMLBatchScoringPipeline?branchName=master) |