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Feature Learning vs Kernel Regime

The kernel (lazy) regime keeps neural network parameters close to their initialization, making training equivalent to kernel regression with a fixed kernel such as the Neural Tangent Kernel (NTK).

#neural tangent kernel#kernel ridge regression#lazy training+12
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Neural Tangent Kernel (NTK) Theory

The Neural Tangent Kernel (NTK) connects very wide neural networks to classical kernel methods, letting us study training as if it were kernel regression.

Intermediate
Advanced
Filtering by:
#overparameterization
#neural tangent kernel
#ntk
#infinite width
+12