This video uses a spatial analogy to explore why deep neural networks are more powerful than shallow ones. This is part 4 in my deep learning series: https://www.youtube.com/playli....st?list=PLbg3ZX2pWlg We'll explore what neurons are doing individually and as a group to "understand" perceptions. It leads us to the Manifold Hypothesis.