  Convolutional Neural Networks (ConvNets) usually rely on edge/shape
information to classify images. Visualization methods developed over the last
decade confirm that ConvNets rely on edge information. We investigate
situations where the ConvNet needs to rely on image intensity in addition to
shape. We show that the ConvNet relies on image intensity information using
visualization.
