From the course: Google Cloud Platform for Machine Learning Essential Training
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Use managed and user-managed notebooks - Google Cloud Platform Tutorial
From the course: Google Cloud Platform for Machine Learning Essential Training
Use managed and user-managed notebooks
The quickest way to get started to run one of these examples is to scroll down and click "Run code now." Now, this would open it up in a Colab SaaS Google hosted notebook. But because we're not focusing on that, we're focusing on Vertex AI, I've already done that step. Once you open it there, you can then save the Python notebook and download it to your local machine. So you want to go ahead and do that step for either beginner or expert if you're familiar with MNIST and you want to use the more expert level, MNIST example. Once you've done that, then to run within Vertex AI, we have a number of choices. The newest choice is Colab Enterprise. And the idea here is for this particular scenario, you have tried something out on public Colabs and now you want to bring that notebook into your particular Google project so that you can have control over the security of the data, the networking, and so on and so forth. And you can see I've already done that for this notebook, and I've done…
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Understand available services4m 17s
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Use TensorFlow example: MNIST3m 56s
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Use managed and user-managed notebooks5m 43s
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Update notebook instance6m 29s
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Use notebook instances2m 5s
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Challenge: Setup notebook55s
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Solution: Setup notebook2m 44s
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