VC dimension of Graph Neural Networks with Pfaffian activation functions.
Giuseppe Alessio D'InvernoMonica BianchiniFranco ScarselliPublished in: CoRR (2024)
Keyphrases
- activation function
- vc dimension
- neural network
- artificial neural networks
- hidden layer
- back propagation
- feed forward
- upper bound
- sample size
- sample complexity
- multilayer perceptron
- lower bound
- learning rate
- neural nets
- inductive inference
- radial basis function
- worst case
- compression scheme
- pattern recognition
- network architecture
- basis functions
- multi layer perceptron
- genetic algorithm
- neural network model
- rbf neural network
- support vector machine
- recurrent neural networks
- theoretical analysis
- image compression
- fuzzy logic
- active learning
- fuzzy neural network
- optimal solution
- learning algorithm
- machine learning