Module deep_learning_kernels 

Deep Learning Integration for Kernel Approximation

This module implements advanced kernel methods inspired by deep learning, including Neural Tangent Kernels (NTK), Deep Kernel Learning, and infinite-width network approximations.

References

• Jacot et al. (2018): “Neural Tangent Kernel: Convergence and Generalization in Neural Networks”
• Wilson et al. (2016): “Deep Kernel Learning”
• Lee et al. (2018): “Deep Neural Networks as Gaussian Processes”
• Arora et al. (2019): “Exact solutions to the nonlinear dynamics of learning in deep linear neural networks”

Structs

DKLConfig

Deep Kernel Learning combines deep neural networks with kernel methods

DeepKernelLearning

InfiniteWidthKernel

Infinite-Width Network Kernel

NTKConfig

Configuration for Neural Tangent Kernel

NeuralTangentKernel

Neural Tangent Kernel (NTK) Approximation

Enums

Activation

Activation functions for neural network kernels