Can I start training with a batch of data, stop training, load different data (same type) and then start training again (same model)?

I am using a jupyter notebook to load data and train a CNN. I have about 80,000 images and each time I try to load the data, the VS code instance crashes. I was wondering if I could load the first 20,000 images (since I know that will work) and train the network, then delete those images and load the next 20,000 and start training again and so on until I use all my images. From my understanding, as long as I do not reset the kernel (of the notebook) I should be fine. Please help/give suggestions on how to avoid/fix this issue.

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