How can I build 2 independence tensorflow docker?

If I want to finish lesson 2 assignment in docker 1 while I want to finish lesson3 assignment in another docker.

How can I do that?

My first tensorflow docker is ok:

sudo nvidia-docker run -ti -p 8888:8888 -v ~/tfv1:/notebooks/tfv1 --name tfv1 tensorflow/tensorflow:latest-gpu

##But when I try to build another tensorflow docker like the below codes, I met trouble

when I try to enter jupyter notebook

sudo nvidia-docker run -ti -p 6688:8888 -v ~/tfv2:/notebooks/tfv2 --name tfv2 tensorflow/tensorflow:latest-gpu


the mistake remind like this

This site can’t be reached

localhost refused to connect.
Search Google for localhost 8888

If you change the port like this


The error is still existed.

Failed to enter.

This site can’t be reached

The webpage at http://localhost:6666/?token=bd113949983a744867bbfe6defd70c5c291e1a60f0f0eaac might be temporarily down or it may have moved permanently to a new web address.

Anyone can help me?

Very Thanks!

It looks like you’re exposing Jupyter (port 8888) on local port 6688 in that command. Try using localhost:6688 instead?