Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks.
Landan SeguinAnthony NdirangoNeeli MishraSueYeon ChungTyler LeePublished in: CoRR (2021)
Keyphrases
- neural network
- multilayer perceptron
- trained neural networks
- auto associative
- pattern recognition
- trained neural network
- fuzzy logic
- random variables
- back propagation
- training process
- multi layer perceptron
- regression analysis
- neural nets
- recurrent neural networks
- backpropagation algorithm
- genetic algorithm
- feed forward
- neural network model
- probability distribution
- power law
- deeper understanding
- elman network
- feedforward neural networks
- normal distribution
- network architecture
- hidden layer
- case study
- machine learning