Lilian Weng • 9/8/2022

Some Math behind Neural Tangent Kernel

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This technical article explores the Neural Tangent Kernel (NTK), a theoretical framework for understanding the training dynamics of over-parameterized neural networks. It provides a math-intensive explanation of how NTK explains the consistent convergence of wide neural networks to a global minimum during gradient descent, including reviews of core concepts like Jacobian matrices and differential equations.

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#optimization #mathematics #Neural Networks
Some Math behind Neural Tangent Kernel

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