QuestionQ26

ML – Neural Networks and Testing

A wildlife conservation group wants to use a neural network to classify images of different animals. The algorithm will be used on a social media platform to automatically identify pictures of the selected animal of the month. This month’s animal is a wolf. The test team has already observed that the algorithm can classify a picture of a dog as a wolf because dogs and wolves share similar characteristics. To address such cases, the team plans to train the model with additional images of wolves and dogs so that it can better distinguish between the two.

Which test method should be used to verify that the model has improved after the additional training?

Explanation

Back-to-back testing compares the outputs of an existing version of a machine-learning system with those of a changed version for the same inputs. Comparing the model before retraining with the model retrained on additional wolf and dog images reveals whether its classifications have improved for the relevant images.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!