Neural Tangent Kernel: Convergence and Generalization in Neural Networks.
Arthur JacotFranck GabrielClément HonglerPublished in: CoRR (2018)
Keyphrases
- neural network
- network architecture
- weight update
- artificial neural networks
- neural fuzzy
- pattern recognition
- neural model
- connectionist models
- kernel function
- learning rules
- multi layer
- back propagation
- neural network model
- tangent distance
- fuzzy logic
- recurrent neural networks
- associative memory
- neural learning
- support vector
- feed forward
- fuzzy systems
- convergence rate
- convolution kernel
- hebbian learning
- machine learning
- recurrent networks
- neural computation
- activation function
- bio inspired
- training algorithm
- hidden layer
- convergence speed
- fault diagnosis
- multi layer perceptron
- learning machines
- component analysis
- gaussian processes
- training process
- multilayer perceptron
- self organizing maps
- evolutionary algorithm
- reinforcement learning