Hi I’m pretty new to Deep Learning …I’m trying to setup the AWS . I used the setup_t2.sh script and modified to t2.micro instead of t2.xlarge . After all my instance is created and ssh to aws console . Now i launched the jupyter notebook and the output is as follows
ubuntu@ip-10-0-0-9:~$ jupyter notebook
[I 04:14:08.487 NotebookApp] [nb_conda_kernels] enabled, 2 kernels found
[I 04:14:08.491 NotebookApp] Writing notebook server cookie secret to /run/user/1000/jupyter/notebook_cookie_secret
[W 04:14:08.517 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[I 04:14:09.153 NotebookApp] ✓ nbpresent HTML export ENABLED
[W 04:14:09.153 NotebookApp] ✗ nbpresent PDF export DISABLED: No module named nbbrowserpdf.exporters.pdf
[I 04:14:09.157 NotebookApp] [nb_conda] enabled
[I 04:14:11.293 NotebookApp] [nb_anacondacloud] enabled
[I 04:14:11.296 NotebookApp] Serving notebooks from local directory: /home/ubuntu
[I 04:14:11.296 NotebookApp] 0 active kernels
[I 04:14:11.296 NotebookApp] The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/
[I 04:14:11.296 NotebookApp] Use Control-C to stop this server and shut down all kernels
Now i’m trying to use the IP:8888 to see the Jupyter with password dl_course and try to create the new python condo_root under nbs. Up to this ok … When new file is created it says kernal is not connected … Please see the attached picture
But i could see the following output from my pc
ubuntu@ip-10-0-0-9:~$ jupyter notebook
[I 04:14:08.487 NotebookApp] [nb_conda_kernels] enabled, 2 kernels found
[I 04:14:08.491 NotebookApp] Writing notebook server cookie secret to /run/user/1000/jupyter/notebook_cookie_secret
[W 04:14:08.517 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[I 04:14:09.153 NotebookApp] ✓ nbpresent HTML export ENABLED
[W 04:14:09.153 NotebookApp] ✗ nbpresent PDF export DISABLED: No module named nbbrowserpdf.exporters.pdf
[I 04:14:09.157 NotebookApp] [nb_conda] enabled
[I 04:14:11.293 NotebookApp] [nb_anacondacloud] enabled
[I 04:14:11.296 NotebookApp] Serving notebooks from local directory: /home/ubuntu
[I 04:14:11.296 NotebookApp] 0 active kernels
[I 04:14:11.296 NotebookApp] The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/
[I 04:14:11.296 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[I 04:15:22.084 NotebookApp] 302 GET / (140.101.159.253) 0.60ms
[I 04:15:22.294 NotebookApp] 302 GET /tree (140.101.159.253) 0.92ms
[I 04:15:53.834 NotebookApp] 302 POST /login?next=%2Ftree (140.101.159.253) 0.87ms
[I 04:16:20.314 NotebookApp] Creating new notebook in /nbs
[I 04:16:20.321 NotebookApp] Writing notebook-signing key to /home/ubuntu/.local/share/jupyter/notebook_secret
[I 04:16:28.628 NotebookApp] **kernel started: 07fe3efc-563d-4d14-b379-5336dff00356
[I 04:18:28.726 NotebookApp] Saving file at /nbs/Untitled.ipynb
Please let me know how can i resolve this … Should i need to use p2 instance or t2_xlarge ?