Which of the following best explains the flattening?

It is the last step of CNN$.$

Delete unnecessary features to make our dataset cleaner.

Transform images to vectors to make it easier to predict.

Once we have the pooled feature map, this component transforms the information into a vector. It's the input we need to get on with Artificial Neural Networks.