<human>:  Why do we need so many layers in deep neural networks?
<bot>: The idea is that each layer is a different way of representing the data. For example, the first layer might represent the raw input data, the second layer might represent the data after some transformations, and so on. The more layers you have, the more complex the representation of the data.