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An IT department creates the following resources:
rg
ws
in the rg
resource groupaks-cluster
in the rg
resource group, which is attached to the ws
workspace as a compute target named aks-cluster
You are using a Microsoft Surface Book with a GPU, which has Python 3.6 and Visual Studio Code installed.
You must run a script that trains a deep neural network (DNN) model and logs the loss and accuracy metrics.
Proposed Solution: Install the Azure ML SDK on the Surface Book. Run Python code to connect to the workspace and then run the training script as an experiment on the local compute.
Does the solution meet the goal?