<human>:  I have a question about Deep Learning and Interpretability. When you say interpretability, what do you mean?
<bot>: Interpretability is the ability to explain why a model makes a particular prediction. For example, if you are using a neural network to predict the price of a stock, you might want to be able to explain why the model predicts that the stock will go up or down.