Question: I'm trying to access the Tensorboard for the `tensorflow_resnet_cifar10_with_tensorboard` example, but not sure what the url should be, the help text gives 2 options:

> 
> You can access TensorBoard locally at <http://localhost:6006> or using
>  your SageMaker notebook instance proxy/6006/(TensorBoard will not work
>  if forget to put the slash, '/', in end of the url). If TensorBoard
>  started on a different port, adjust these URLs to match.
> 
> 
> 

When it says access locally, does that mean the local container Sagemaker creates in AWS? If so, how do I get there?

Or if I use `run_tensorboard_locally=False`, what should the proxy url be?

Answer: 
You can access TensorBoard on your notebook using the link "proxy/6006".

If you set run\_tensorboard\_locally=False then it won't start TensorBoard.

If the URL you clicked gives you the error "[Errno 111] Connection refused" then it seems that training has already stopped. According to <https://github.com/aws/sagemaker-python-sdk> it "terminates TensorBoard when the execution ends" so it seems you have to access it during the training step only.
"Local" there refers to the machine which is running the estimator.fit method. So if you are running the example notebook on a SageMaker notebook instance, tensorboard will be running on that machine.

The "proxy/6006" part of the text you quoted is a clickable link which will bring up TensorBoard on your notebook. The full URL will be "https://.notebook..sagemaker.aws/proxy/6006/".