Neural Tangent Kernel: Convergence and Generalization in Neural Networks.
Arthur JacotClément HonglerFranck GabrielPublished in: NeurIPS (2018)
Keyphrases
- neural network
- network architecture
- weight update
- neural model
- artificial neural networks
- neural learning
- back propagation
- connectionist models
- kernel function
- neural fuzzy
- learning rules
- associative memory
- genetic algorithm
- neural models
- iterative algorithms
- pattern recognition
- fuzzy logic
- neural network model
- neural architectures
- support vector
- multilayer perceptron
- recurrent neural networks
- fault diagnosis
- training algorithm
- convergence rate
- neural computation
- feed forward neural networks
- spiking neurons
- spiking neural networks
- hebbian learning
- tangent distance
- self organizing maps
- feature space
- recurrent networks
- kernel learning
- radial basis function
- component analysis
- learning machines
- activation function
- fuzzy systems
- input space