I was trying to run the model in “jupyter notebook ” in “Ubuntu system ” and I already trained three models with the same environment,the same code and same dependencies. I did not do any updations in the current envioronment. I started training the 4kernel dead messageth model with the same weights and in the same environment with the same dependencies but as I started training the model I am getting the kernel dead issue. Then I tried changing the kernel but still I am getting the same issue. I tried many ways like unistalling ipykernel but it did not help.I tried “conda install tensorflow” command to run in the terminal in my environment but it did not help too and due to this command dependencies in my environment changed and I was not able to open jupyter notebook in this enviroment any more. I tried running the model in the default kernel too “Python 3 (ipykernel)” , but still getting the same issue.

I tried uninstalling ipykernel and reinstalling it. Tried “conda install tensorflow” but it didn’t help. As I tried conda install tensorflow my dependencies in the env changed and was unable to open jupyter notebook with that environment. I tried cahnging the buffer size of jupyter notebook too using these commands but this also did not help
“jupyter notebook –generate-config”
“cd /home/name/.jupyter/”
“vim jupyter_notrbook_config.py”
“sudo nano jupyter_notebook_config.py”
and then tried editing the NotebookApp.max_buffer_size but this also did not help.