Question 1: Short answer
easyAI-checkedTraining Deep NetworksA large network is trained on an image dataset with 3 balanced classes (cat, dog, wild animal) after the labels were randomly shuffled, so labels are unrelated to images. It reaches 100% training accuracy. About what validation accuracy, in percent, should you expect on correctly labelled validation images?