Tip: If you don’t have an Azure subscription, create a free account before you begin.
The last article discusses the basics of Machine Learning and Deep Learning, in this article, let’s leverage the Azure cloud service to implement the CNN to predict the malaria cells.
Step 1: After creating the Azure Free trial account, log in to Azure portal
Step 2: Search for Machine Learning in the search bar and click on create.
Step 3: Click on the Create Machine Learning workspace in the next window.
step 4: Create a new Resource Group, give a name for the workspace, storage account name, click on “review and create” to create the workspace.
Step 5: Once the workspace is deployed, click on “Go to resource” →“launch studio” to launch the workspace.
Step 6: Click on “Start now” under the notebook section to create a new notebook.
Step 7:Click on the “three-dot icon → upload folder” to upload the dataset.
Step 8:Click on “Create → New File” to create a new Notebook, choose a file name and file type.
Step 9:Click on compute option in the left pane and select new to choose the configuration for the virtual machine.
Step 10:Choose an optimal plan and a compute name (cost/hr depends on the configuration you choose)
Step 11: Select python 3 as the programming language(R can also be used) and the custom code can be written, similar to Jupyter Notebook.
Step 12: Once the Model is created, the code can be downloaded in various formats.
Step 13:Stop the compute immediately after creating the model. Delete the compute, datasets, resource group to avoid unnecessary charges.
