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Distributed Deep Learning with Azure Machine Learning
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By the end of this tutorial, you should be able to use Azure Machine Learning (AzureML) to:
-quickly implement basic commands for data preparation
-test and run a multi-node multi-gpu pytorch job
-use mlflow to analyze your metrics
Reference notebook:
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✅ You can contact me at:
#azuremachinelearning #DistributedML #Pytorch #Container #Docker
#Azure #AI #ML #Reproducability #Microsoft #OptimizedTraining #PytorchOptimization #DistributedPytorch #DeepLearning #DistributedDeepLearning #azureml #azure
-quickly implement basic commands for data preparation
-test and run a multi-node multi-gpu pytorch job
-use mlflow to analyze your metrics
Reference notebook:
🔔 Subscribe for more cloud computing, data, and AI analytics videos
by clicking on subscribe button so you don't miss anything.
✅ You can contact me at:
#azuremachinelearning #DistributedML #Pytorch #Container #Docker
#Azure #AI #ML #Reproducability #Microsoft #OptimizedTraining #PytorchOptimization #DistributedPytorch #DeepLearning #DistributedDeepLearning #azureml #azure
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