uncrumpling paper balls is what machine learning is aboutfinding neat representations for complexhighly folded data manifolds at this pointyou should have pretty good intuition as to why deep learning excels at thisit takes the approach of incrementally decomposing complicated geometric transformation into long chain of elementary oneswhich is pretty much the strategy human would follow to uncrumple paper ball each layer in deep network applies transformation that disentangles the data little--and deep stack of layers makes tractable an extremely complicated disentanglement process licensed to