Open noranta4 opened 3 years ago
B
First I tried to test the net on the combination of two similar images with the same label (two dogs). I found that the network works very poorly in the classification of the second image. The results seem to indicate that the second image represents a deer. The two distributions are well separated from each other except for the third and fourth images.
Then I combined the image of a ship with the one of a flipped ship. In this case I found that the distribution of the first image has a grate overlap with the one of a car.
I think these graphs are useful for understanding the reliability of our model predictions. They give us an idea of the width of the probability distribution and its overlap with the distributions of other possible predictions.
Comment this issue with your answers to exercise A and B of notebook 7 "Uncertainty, regularization, and the deep learning toolset".
At the beginning of your response put a big A or B to signal the exercise you are answering to. Like this:
A
If you answer to both A and B please do it in the same comment and put at the beginning of each answer the big A or B.