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Neural Tangent Kernel (NTK) describes how wide neural networks train like kernel machines, turning gradient descent into kernel regression in the infinite-width limit.
The Neural Tangent Kernel (NTK) connects very wide neural networks to classical kernel methods, letting us study training as if it were kernel regression.