Compute which features are important to a neural network when making a prediction on a particular data point. To identify these features, we need to choose a baseline input. A baseline input can be a black image (all pixel values set to zero) or random noise. The shape of the baseline input needs to be the same as our input image, e.g. (299, 299, 3).