What does the color coding and normalized values in confusion matrix actually specify?
Each element_ab shows the probability of predicting label a (horizontal axis) when the true label is b (vertical axis)
For example, when the true label is 0, it will be predicted as label 2 with the probability of 0.14

The color intensity indicates the probability of each element in a row