Jupyter, Python: the kernel appears to have died while training a model on a big amount of data I am training my model on almost 200 000 images, i'm using Jupyter and now after 3 days of training ( i used 800 epochs and batch-size = 600) I have this &quot; the kernel appears to have died. It will restart automaticaly&quot; And this appears after 143 epochs only. Can anyone help me to solve this, and also can anyone advise me something in case of using big amount of data, because i am struggling with this dataset and I can't retrain the model each time the Jupyter blocks. Infact, I'm working on my internship project so I have to use all the data. I will be so grateful for your help.
I have had the same problem while training in huge data sets in Jupyter Notebooks. The only solution I found was to create a scrip .py with my training process (including model persistence) and running it from my terminal (python3 myscript.py)