Resources and further reading

The following are a few interesting articles on setting TensorFlow on GCE:

• Running distributed TensorFlow on Compute Engine: https://cloud.google.com/solutions/running-distributed-tensorflow-on-compute-engine
• Jupyter + TensorFlow + Nvidia GPU + Docker + GCE: https://medium.com/google-cloud/jupyter-tensorflow-nvidia-gpu-docker-google-compute-engine-4a146f085f17
• Using a GPU and TensorFlow on GCP: https://medium.com/google-cloud/using-a-gpu-tensorflow-on-google-cloud-platform-1a2458f42b0
• Running Jupyter Notebooks on GPU on Google Cloud: https://medium.com/google-cloud/running-jupyter-notebooks-on-gpu-on-google-cloud-d44f57d22dbd

Some docker-related resources:

• Docker config to create machines on GCE: https://docs.docker.com/machine/drivers/gce/
• Logging with stackcriver: https://medium.com/google-cloud/how-to-log-your-application-on-google-compute-engine-6600d81e70e3