Comparing Sample-wise Learnability Across Deep Neural Network Models.
Seung-Geon LeeJaedeok KimHyun-Joo JungYoonsuck ChoePublished in: CoRR (2019)
Keyphrases
- neural network model
- neural network
- artificial neural networks
- neural models
- rbf neural network
- input variables
- multilayer perceptron
- network architecture
- multi layer perceptron
- pairwise
- bp neural network
- growing neural gas
- finite automata
- sample points
- uniform distribution
- support vector
- learning algorithm
- boolean functions
- dnf formulas