Statistical Learning vs Neural Networks

STATISTICAL LEARNING Gentlemen, our learner overgeneralizes because the VC-Dimension of our Kernel is too high, Get some experts and minimize the structural risk in a new one. Rework our loss function, make the next kernel stable, unbiased and consider using a soft margin NEURAL NETWORKS STACK MORE LAYERS LAYERS LAYERS

The top panel shows a stick figure presenting statistical learning theory with a declining graph and a long technical explanation about kernels, margins, and structural risk. The bottom panel humorously reduces neural networks to the simple advice “STACK MORE LAYERS,” showing a rising graph and a figure wearing a jester-like hat. The joke contrasts the complexity of traditional statistical learning with the oversimplified perceived solution used for neural networks. EN: The top panel shows a stick figure presenting statistical learning theory with a declining graph and a long technical explanation about kernels, margins, and structural risk. The bottom panel humorously reduces neural networks to the simple advice “STACK MORE LAYERS,” showing a rising graph and a figure wearing a jester-like hat. The joke contrasts the complexity of traditional statistical learning with the oversimplified perceived solution used for neural networks.

• @ithueti / 8988 2023-03-07