Charlie sees a distorted image and explains how through nonlinear warping, they can take the image, using what they know about refraction to reconstrust the original image.
Explains the definition, use, and some real world examples of deep learning. It also explains their recurrent nature. It also illustrates the difference between feed forward and recurrent neural networks.