Neural tangent kernel: convergence and generalization in neural networks (invited paper).
Arthur JacotFranck GabrielClément HonglerPublished in: STOC (2021)
Keyphrases
- invited paper
- neural network
- network architecture
- weight update
- associative memory
- kernel function
- neural learning
- neural network model
- neural fuzzy
- neural model
- neural computation
- artificial neural networks
- connectionist models
- kernel methods
- back propagation
- convergence rate
- pattern recognition
- feature space
- learning rules
- genetic algorithm
- hebbian learning
- tangent distance
- recurrent neural networks
- multilayer perceptron
- feed forward
- fuzzy logic
- data analysis
- bio inspired
- fuzzy systems
- biologically plausible
- spiking neural networks
- recurrent networks
- support vector
- artificial intelligence
- real world
- database