I am new to Jupyter, and I launch it from Anaconda navigator, I download Anaconda application and create a new environment named 'tf' for tensorflow by following this video: How to install Tensorflow and Keras using Anaconda Navigator Then I want to repeat this tutorial Basic classification: Classify images of clothing from Tensorflow office website, I copy and paste each cell one by one and when I run this cell, it has a warning message said "The kernel appears to have died. It will restart automatically."
test_loss, test_acc = model.evaluate(test_images, test_labels, verbose=2)
print('\nTest accuracy:', test_acc)
I have no idea how to fix that, I search some answer said that is because run out of memory, but I am wondering is the code run in Jupyter using my laptop's memory? I am using a 128G old Macbook pro and I am not very confidence about its memory.. Thanks!