Machine Learning, Neural Networks, Artificial Intelligence, Google Brain, Math.
after the features have been learned adequately, i.e., the input is far away from the decision boundary. Interior Gradients In this section, the authors describe how to create counter factual inputs as well as note the fact that we can aggregate all of the final gradient via summing them up in the