Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels.
Xuchen YouShouvanik ChakrabartiBoyang ChenXiaodi WuPublished in: ICML (2023)
Keyphrases
- support vector regression
- neural network
- kernel function
- support vector
- network architecture
- weight update
- neural model
- kernel methods
- neural learning
- feature space
- pattern recognition
- artificial neural networks
- neural network model
- neural fuzzy
- learning rules
- multilayer perceptron
- associative memory
- connectionist models
- genetic algorithm
- tangent distance
- recurrent neural networks
- back propagation
- linear combination
- fuzzy logic
- multi layer
- fuzzy systems
- multi layer perceptron
- convergence rate
- self organizing maps
- hebbian learning
- radial basis function
- neural computation
- neural architectures
- feature selection