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Solution: Setup notebook

Solution: Setup notebook - Google Cloud Platform Tutorial

From the course: Google Cloud Platform for Machine Learning Essential Training

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Solution: Setup notebook

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Which notebook solution did you select? For most control and sizing capability, the best fit for this scenario would be an instance. So based on our previous knowledge, the recommendation would be, to start with, a machine type that included a GPU. Which I've done here. And if you remember from previous movies, instances combine the flexibility of SSH level access that user-managed notebooks have, and the flexibility to size up and down by adding or removing sizing or GPUs like managed notebooks. And once again, once you open this up -- and this is the advanced TensorFlow. If you did not remember the steps of how to get it from the website, you open it in Colab public, then download it, and then upload it with this button right here. And notice I've set this runtime to TensorFlow because this is a capability that's in the managed notebooks, not in the user-managed. This, again, allows you to take advantage of optimizations that Google has done. So you can see the usage here. And…

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