Setting up GCP accounts and projects
Setting up a Google Cloud account and a project.
Activating Cloud TPU APIs
Activating Compute Engine and Cloud TPU APIs.
Connecting to Cloud Storage buckets
Storing your machine learning data on a Cloud Storage bucket. Giving your Cloud TPU access to data objects in the bucket.
Creating and deleting TPUs
Setting up Cloud TPU or deleting nodes step-by-step.
Using Cloud TPU Tools
Monitoring Cloud TPU and model training using TensorBoard and command line tools.
Setting up TensorBoard
Setting up TensorBoard to visualize and monitor the output and performance of your training application.
Cloud TPU monitoring with StackDriver
Cloud TPU monitoring with Stackdriver. Displays logs and supports creating log-based metrics for the Cloud TPU runtime binary. Provides tools for creating dashboards and alerts based on log metrics.
Preparing the ImageNet dataset
How to download, preprocess, and upload the ImageNet dataset to a Cloud Storage bucket.
Preparing the COCO dataset
How to download, preprocess, and upload the COCO dataset to a Cloud Storage bucket.
Using TPUs with GKE
A guide to setting up Cloud TPU with Google Kubernetes Engine.
Using preemptible TPUs
How and why you can allow Cloud TPU to preempt your TPU for usage by other workloads.
Cloud TPU audit logs
Accessing and using Cloud TPU audit logs.
Cloud TPU version switching
Switching software versions on your Cloud TPU.
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