Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks.

Landan Seguin Anthony Ndirango Neeli Mishra SueYeon Chung Tyler Lee

Published 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