This section describes how to launch and connect toTensorFlow production & development Kit in a Google Compute environment.
It will take you to the agreement page. On this page, you can change the project from the project selector on top navigator bar as shown in the below screenshot.
Accept the Terms and agreements by ticking the checkbox and clicking on the AGREE button.
It will show you the successfully agreed popup page. Click on Deploy.
Select a zone where you want to launch the VM(such as us-east1-)
Optionally change the number of cores and amount of memory. (This defaults to 2 vCPUs and 7.5 GB ram.)
Optionally change the boot disk type and size. (This defaults to “Standard Persistent Disk” and 10 GB respectively)
Optionally change the network name and subnetwork names. Be sure that whichever network you specify has ports 22 (for ssh), 3389 (for RDP) and 80 (for HTTP) exposed.
Click Deploy when you are done. TensorFlow Production & Development Kit will begin deploying.
A summary page displays when the compute engine is successfully deployed. Click on the Instance link to go to the instance page .
On the instance page, click on the “SSH” button, select “Open in browser window”.
sudo passwd ubuntu
Now the password for ubuntu user is set, you can connect to the VM’s desktop environment from any local windows machine using RDP protocol or linux machine using Remmina.
To connect using RDP via Windows Machine, first note the external IP of the VM from VM details page as highlighted below
Then From you local windows machine, goto “start” menu, in the search box type and select “Remote desktop connection”
In the “Remote Desktop connection” wizard, copy the external ip and click connect
To connect using RDP via Linux machine, first note the external IP of the VM from VM details page,then from your local Linux machine, goto menu, in the search box type and select “Remmina”.
Note: If you don’t have Remmina installed on your Linux machine, first Install Remmina as per your linux distribution.
Note: Make sure you use “http” and not “https” in the url