Training Loss and Training Set Accuracy

I tried to find it on the forum and couldn’t get a simple answer.
How is it possible to see training accuracy for example on resnet34?
In his book Machine Learning Yearning Andrew Ng recommends to compare training accuracy and validation accuracy to figure out priorities in moving forward with a project’s direction.

I found one thread: Why is training accuracy per epoch so much higher than the validation accuracy?
I’m not sure if this is a good way to see training accuracy.
Can you please confirm if this is a good way to see training accuracy. Is there another more straightforward way to see training accuracy?

Thank you!

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